{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f238c134-c455-46d4-8d14-e17ced322d44",
   "metadata": {},
   "source": [
    "在 Seaborn 中，可以使用 displot(kind=\"hist\") 和 histplot() 函数来创建直方\n",
    "图。这两个函数提供了丰富的参数和选项，能够满足多种绘图需求。本章节将\r\n",
    "细介绍如何使用这两个函数来创建和美化直方图"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "03f2fd0b-0f3e-4dd2-93fd-73f190c1c7b8",
   "metadata": {},
   "source": [
    "Seaborn 中的直方图函数"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2271ca93-a207-4474-83ea-4624eec437e4",
   "metadata": {},
   "source": [
    "1. displot(kind=\"hist\")\r\n",
    "displot 是一个高级绘图函数，可以用于创建多种类型的分布图。通过指\r\n",
    "kind=\"hist\"，可以创建一个直方图。displot 是一个 figure-level 函数，味\r\n",
    "着它可以创建一个包含多个子图的大图。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d5c49dc-151e-41e5-b8a1-c546eabf41af",
   "metadata": {},
   "source": [
    "2. histplot()\r\n",
    "histplot 是一个专门用于绘制直方图的函数。它是一个 axes-level 函数，\r\n",
    "味着它只能绘制单个子图，但提供了更具体的参数和选项来控制直方图细\r\n",
    "节"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e5872da-6fe9-4e98-aeef-90ff77090f6a",
   "metadata": {},
   "source": [
    "seaborn.displot 是一个高级接口，用于绘制分布图。它可以使用多种类型的\n",
    "图表（如直方图、密度图等）来展示数据的分布情况。以下是各个参数的详细\r\n",
    "释："
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f027ff16-76aa-46a7-ac46-5d0cedaad165",
   "metadata": {},
   "source": [
    "data: \r\n",
    "类型: DataFrame 、 array 、 list 或 dict\r\n",
    "说明: 输入的数据集。可以是一个 DataFrame 或其他类似结构的据\r\n",
    "集"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3e93fb81-dce3-4ddc-af6e-3abe77c13aa5",
   "metadata": {},
   "source": [
    "x: \r\n",
    "类型: str 或 array-like\r\n",
    "说明: 用于绘图的变量。在 data 为 DataFrame 时， x 通常是列名。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "88820f69-559b-46f8-9a25-1d2770108b58",
   "metadata": {},
   "source": [
    "y: ib version: 3.8.4\r\n",
    "类型: str 或 array-like\r\n",
    "说明: 可选，第二维度用于二维分布图"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b30461f-9f97-4b71-af56-ea5c20d20fad",
   "metadata": {},
   "source": [
    "hue:\r\n",
    "类型: str 或 array-like\r\n",
    "说明: 根据该变量将数据进行颜色区分。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7334b58c-4e85-41dc-8905-ae71b5b703c3",
   "metadata": {},
   "source": [
    "row: \r\n",
    "类型: str 或 array-like\r\n",
    "说明: 根据该变量将数据分成行子图。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a65b151e-4be1-4543-b69f-f33d84569e76",
   "metadata": {},
   "source": [
    "col: \r\n",
    "类型: str 或 array-like\r\n",
    "说明: 根据该变量将数据分成列子图"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0bc6ac4-73ce-434a-90be-39f3743278ca",
   "metadata": {},
   "source": [
    "weights: \r\n",
    "类型: str 或 array-like\r\n",
    "说明: 为每个观测值提供权重"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6fb77396-fc82-41b7-9a97-ba65bde8395b",
   "metadata": {},
   "source": [
    "kind: \r\n",
    "类型: str\r\n",
    "默认值: 'hist'\r\n",
    "说明: 指定分布图的类型。支持 'hist' （直方图）、 'kde' （核度估\r\n",
    "计）、 'ecdf' （经验累积分布函数）等"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ac5b8f6-bfd1-4eb9-bf5a-dc7f7aa5e3c1",
   "metadata": {},
   "source": [
    "rug: \r\n",
    "类型: bool\r\n",
    "默认值: False\r\n",
    "说明: 是否在图下添加 rug plot（数据分布的小竖线）"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed1ccb47-80fa-4699-9d4b-8da0a4ae2d98",
   "metadata": {},
   "source": [
    "rug_kws: \r\n",
    "类型: dict\r\n",
    "说明: 传递给 rug plot 的关键字参数"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d67e86fb-c929-4695-892f-505ccf760d31",
   "metadata": {},
   "source": [
    "log_scale: \r\n",
    "类型: bool 或 tuple\r\n",
    "默认值: Fal\n",
    "说明: 是否对坐标轴进行对数变换。可以为单个布尔值或（x, y）形式的\r\n",
    "元组。se"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f57b284-f69d-4d1c-a61c-502f404d8fff",
   "metadata": {},
   "source": [
    "legend: \r\n",
    "类型: bool\r\n",
    "默认值: True\r\n",
    "说明: 是否显示图例"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d46c1e5e-d370-4de2-93ff-987226f7775b",
   "metadata": {},
   "source": [
    "palette: \r\n",
    "类型: palette name 、 list 或 dict\r\n",
    "说明: 指定调色板，控制不同 hue 值对应的颜色"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e9da7f3a-af9d-4954-8dde-99d4eabe951a",
   "metadata": {},
   "source": [
    "hue_order: \r\n",
    "类型: list\r\n",
    "说明: 指定 hue 分类变量的显示次序"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "267f5139-a771-4c63-984a-94da3b51bac0",
   "metadata": {},
   "source": [
    "hue_norm: \r\n",
    "类型: tuple 或 norm\r\n",
    "说明: 颜色强度归一化范围"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "85d66239-31d9-426e-b00d-802c5138f6da",
   "metadata": {},
   "source": [
    "color: \r\n",
    "类型: matplotlib color\r\n",
    "说明: 单一颜色，用于绘制所有元素。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49369379-19ee-4cee-bf8d-38bb9f2ba22d",
   "metadata": {},
   "source": [
    "col_wrap: \r\n",
    "类型: int\r\n",
    "说明: 设置每行显示的子图数量。超过数量的子图会重新开始新行。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d44b8a8c-a315-4e5d-9a4b-4aa7b0cc4c46",
   "metadata": {},
   "source": [
    "row_order: \r\n",
    "类型: list\r\n",
    "说明: 指定 row 分类变量的显示次序"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "820b9270-94ea-44fb-be1a-7327daf9ef19",
   "metadata": {},
   "source": [
    "col_order: \r\n",
    "类型: list\r\n",
    "说明: 指定 col 分类变量的显示次序"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c66d3ff6-12de-465c-a5a7-284ea1e97936",
   "metadata": {},
   "source": [
    "height: \r\n",
    "类型: scala\n",
    "默认值: 5\r\n",
    "说明: 设置图表的高度（单位：英寸）。r"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c4e10b5e-606f-4b3f-a2b6-05976b0fa2d0",
   "metadata": {},
   "source": [
    "aspect: \r\n",
    "类型: scalar\r\n",
    "默认值: 1\r\n",
    "说明: 设置图表的宽高比（宽度 = 高度 * aspect）。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "74e1c3db-c45d-4351-bb2f-905e505a5442",
   "metadata": {},
   "source": [
    "facet_kws: \r\n",
    "类型: dict\r\n",
    "说明: 传递给 FacetGrid 的其他关键字参数。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7627324a-c60a-4fa4-85ed-081a970be8d0",
   "metadata": {},
   "source": [
    "kwargs: \r\n",
    "说明: 传递给底层绘图函数的其他关键字参数（如 sns.histplot \r\n",
    "sns.kdeplot ）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "815083c5-2315-4304-87d0-370f15c0acf8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import sys\n",
    "import seaborn as sns\n",
    "plt.rcParams['font.sans-serif'] = 'SimHei'\n",
    "penguins = pd.read_csv('./seaborn数据集/penguins.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6b83c21e-3500-404e-b820-19b397a30359",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "penguins = pd.read_csv('./seaborn数据集/penguins.csv')\n",
    "sns.displot(\n",
    "    penguins,\n",
    "    x=\"鳍长 (毫米)\",  # 垂直直方图\n",
    "    # y=\"鳍长 (毫米)\",  水平直方图\n",
    "    kind='hist',   # 通过kind参数指定直方图\n",
    "    bins=10,  # 指定分箱数为10，即柱子个数，自定义bins断点【160，180，200，220，240】\n",
    "    color=\"#006a8e\"\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "d805bb58-4a89-429a-9841-6e7193cc5ac1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "penguins = pd.read_csv('./seaborn数据集/penguins.csv')\n",
    "sns.displot(\n",
    "    penguins,\n",
    "    y=\"鳍长 (毫米)\", # 水平直方图\n",
    "    kind='hist',   # 通过kind参数指定直方图\n",
    "    bins=10,  # 指定分箱数为10，即柱子个数，自定义bins断点【160，180，200，220，240】\n",
    "    color=\"#006a8e\"\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "489a0303-136a-4b38-b9dd-60b91ceafae4",
   "metadata": {},
   "source": [
    "直方图-离散数据条形图"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb790186-0b10-4535-9e35-4b9e5775f9db",
   "metadata": {},
   "source": [
    "当变量是离散数据时，displot也可以绘制条形图，discrete参数开启，绘制企鹅\n",
    "的种类"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "af23f989-f39d-4381-a86e-44459ce0b7a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(\n",
    "    penguins,\n",
    "    x=\"企鹅的种类\",\n",
    "    kind='hist',\n",
    "    discrete=True,  # 相当于条形图，适用于离散数据\n",
    "    color='#006a8e'\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6dfa6c7c-56d1-4d73-b27a-c51ec2f30eab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 设置箱宽，即每个柱子区间宽度\n",
    "sns.displot(\n",
    "    penguins,\n",
    "    x=\"鳍长 (毫米)\",\n",
    "    kind='hist',\n",
    "    binwidth=5,  # 设置箱宽，即每个柱子区间宽度\n",
    "    shrink=.5,   # 设置箱区间相对宽度，有时候，箱子间太拥挤，通过shrink指定箱子收缩比例\n",
    "    fill=False,  # fill设置箱子填充\n",
    "    color='#006a8e'\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bd4a2e8e-5cb0-4662-b89c-0b7f11dfb55b",
   "metadata": {},
   "source": [
    "直方图-箱子呈现方式"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "28c0af3f-10eb-4b5b-8515-9a9357a1b246",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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8PjU1NfW5nUceeURZWVndp9GjR8ciPgAAKYOaDQBAYqBmp64New7oeHOY8S0REvR7ta36iGqbWuyOAiCO2H545mAwqM7OTp133nk6cuRIr+saGhrk8Xj6vN/999+vurq67lNVFT+xAQAgmqjZAAAkBmp26li6vVw+t1OZvr7/P8XgBANedZrSa6XMQQfQI+YN9B/+8IdasGBB9/l3331XDodD73vf+7Rhw4buyysqKhQOh5Wdnd3ndrxerzIzM3udAABA5FCzAQBIDNTs1LVkW5mCPq8Mw7A7SlLwu11K87i1rpQvjwD0iPkRJj7wgQ/opz/9qc477zy1t7frnnvu0R133KHrr79edXV1mjt3rr761a9q5syZuu666+R0OmMdEQAAiJoNAECioGanpj01ddp5qFaXn9f3FyIYmgyfW6uL99odA0AciXkD/atf/aqKi4v1+c9/XhkZGfrCF76gGTNmyOVyafbs2Zo2bZqmT5+ujo4OrV+/PtbxAADASdRsAAASAzU7NS0rLJfDMBRi/nlEBf1eFR08piMNTcrLCNgdB0AciHkDXbIOTPLII4+cdvktt9yi0tJS5efna+rUqcrLy7MhHQAA6ELNBgAgMVCzU8+SbWUKBbxyOWw/vF1SCQWsLyReLd2nL3/wIpvTAIgHtjTQz2TkyJEaOXKk3TEAAMBZULMBAEgM1Ozk09DSqvWl1Rqbw5z6SPO6nMrwurWupIoGOgBJNhxEFAAAAAAAAEO3eudetXd2KofxLVGR4fNoFXPQAZxEAx0AAAAAACCBLN1erkyfR3533A0WSApBv1dlNXXaf7zR7igA4gANdAAAAAAAgATR2WnqpW3lyvJ77Y6StIIn13ZdSZXNSQDEAxroAAAAAAAACeKdvQd1rKmF8S1R5HE5leXzaC0NdACigQ4AAAAAAJAwlhWWy3uywYvoSfd59MrOSrtjAIgDNNABAAAAAAASxOKCMgX9XhmGYXeUpBbye1VZ26CKo3V2RwFgMxroAAAAAAAACaDyWL12HDjK+JYYyOqeg77P5iQA7EYDHQAAAAAAIAEsK9wjh2EoO0ADPdrcToeCfq/W7mKMC5DqaKADAAAAAAAkgKXbrfEtLiftnFjI8Lr1yq5KmaZpdxQANuIvLgAAAAAAQJw7EW7T2l1VCgW8dkdJGcGAVwfrm1R6+LjdUQDYiAY6AAAAAABAnHtlZ6VaOzqZfx5DWX6vDENaV1JldxQANqKBDgAAAAAAEOeWFZYrw+tWwOO2O0rKcDkcCvq8WlvCHHQgldFABwAAAAAAiGOdnaaWbCtTlp/xLbGW4fPolZ1VzEEHUhgNdAAAAAAAgDi2ueqQjjQ2KzfNb3eUlBMKeHWsqUU7Dhy1OwoAm9BABwAAAAAAiGNLt5fL63Iq0++xO0rKyfR55TQM5qADKYwGOgAAAAAAQBzrGt/iMAy7o6Qcp8NQlt+jNbtooAOpigY6AAAAAABAnKo+3qiC6hrlBHx2R0lZmT6v1pVUqaOz0+4oAGxAAx0AAAAAACBOvVxYLsOQstNooNslGPCqvqVVBfuO2B0FgA1ooAMAAAAAAMSpl7aVK+T3ye2khWOXTJ9HLoehtcxBB1JSRP76mqapjo6OSGwKAABEETUbAIDEQM2GJDW1tumVXZUKBrx2R0lpDsNQlt+rtcxBB1LSoBvo3/72txUOh3tdtnbtWl122WURCwUAAM4dNRsAgMRAzUZ/1pVUKdzeoRzGt9gu0+fR+t371MYXW0DKcQ32Dn/+8581c+ZMeb09335efvnlqqysjGgwINUVFxfbHaFfubm5GjNmjN0xAJwFNRuIjeKDx+yO0KcMn0cXDgvZHQPAAFCz0Z+l28uV7nUr4B50+wYRFgp4tedovTZVHtaUcefbHQdADA34L/DcuXMlWT8jmzdvngKBQPf5V155RR/60IeikxBIMa31xyUZuv322+2O0i+f369dO3fSRAfiFDUbiA2nw5Ak3f70CpuT9K/kwTtoogNxjJqNMzFNU0u2lSno98owDLvjpLx0r0cep0Ord+6lgQ6kmAE30J966ilJkmEYeu655+RyWXd1OByaOHGi/va3v0UnIZBi2ptPSDI19kt3KmfMBLvjnKbpcLWKn/29ampqaKADcYqaDcRGwOPWhy8Yro5O0+4op2lqbVfxoWNqaGm1OwqAM6Bm40y27juig/VNev/IXLujQNYc9KDfq0Vbd+tnn5lidxwAMTTgBvq6deskWYX85ZdfVmZmZtRCAZD8eecrY/R4u2MASEDUbCB2Ah633REAJDBqNs5kWWG5PE6HsvwcQDRe5KT5tWXfEVUfb9TIYLrdcQDEyKAPInrXXXf1mssGAADiEzUbAIDEQM1GXxYXWONbHIxviRvZaT4ZhvTStjK7owCIoUEfheLxxx9XOBxWVVWVTLP3z1UZ5wAAQPygZgMAkBio2Xivg3UntLnqsC4ZznEs4onb6VDI79Oigt26++r32x0HQIwMuoH+hz/8QdOnT1dra2uvwm4Yhjo6OiIaDgAADB01GwCAxEDNxnu9vGOPDFl7PCO+ZKd5ta5kn+qbw8pkvA6QEgY9wuXnP/+5fvWrX6mlpUWdnZ3dJ4o6AADxhZoNAEBioGbjvZZuL1cw4JXH6bQ7Ct4jN82v9s5OrSiqsDsKgBgZdAM9MzNTn/zkJ+V2c8AkAADiGTUbAIDEQM3GqVra2rWqeK+C7N0cl3xul7J8Hi1hDjqQMgbdQP/973+vb37zmyosLIxGHgAAECHUbAAAEgM1G6d6tWSfmtvalZPmtzsK+hEMeLWscI/a+JUIkBIGPQP93nvv1dGjR/X+979foVBImZmZ3deVl5dHNBwADFZlZaVqamrsjtGvcDgsrzd+9yTJzc3lQFVJhJoNIJ6VHq5VQ0ur3TESVobPowuHcXDBZEHNxqmWFZYrzeNWmmfQLRvESG6aX3uPNei10mp98hI+P0VK9fFGba+O38/zfXn/qFydn5VudwxE2aD/Gs+ZMycKMQDg3FVWVuriSy5RS3Oz3VH6ZxjSKQeGijc+v1+7du6kiZ4kqNkA4lXp4Vpd9Ms5dsdIeCUP3kETPUlQs9HFNE0tLihT0O+RYRh2x0E/0r3WFxxLtpXRQI+gL8x+Se/uPWR3jEEZlhHQrp9/TcEAB/xNZoNuoI8bNy4aOQDgnNXU1KiluVmX3n6PAsNG2h3nNEeLt6hi+XyN/dKdyhkzwe44p2k6XK3iZ3+vmpoaGuhJgpoNIF517Xl+6fBsBdjDctCaWttVfOgYe/AnEWo2uhTuP6rqukZNGpFrdxScgWEYCvq9Wrh1t3775Wv5siMC9h6t17t7D+nCvKBy0xNjfFFbR4cKqmv048Wva/a0T9kdB1E06HerY8eOlWEYMk/uQXnqHwmOEA4gHgSGjVTG6PF2xzhN06FqSZI/7/y4zIfkQ80GEO8CHpcyfB67YwC2o2ajy9Lt5XI7HRxANAHkpPu1rbpGW/cd0ZWjh9kdJ+G9uKVUToeh4ZkBuRyDPmSjLbwup8ZmZ+ovbxbqtsmX6poLR9kdCVEy6FdkZ2enOjo61NnZqRMnTmjdunW69tprtWbNmmjkAwAAQ0TNBgAgMVCz0WXJtjIF/V45HOzRHO+Cfq88ToeWbCuzO0pSeH7TLmUHfAnTPO8yIitNoYBX//HsKrW0tdsdB1FyTq9Kv9+vq6++Wi+99JLuu+++SGUCAAARRs0GACAxULNT1+GGJr2796CymaWcEByGoWDAp4Vbd9sdJeFVHqtXfuUh5aYlxuiWUxmGoYl5QVUcrddDKzbaHQdREpGvdQ4fPqwDBw4M6b433HBD9wFTCgsLNXnyZIVCIU2fPr3752sAACAyqNkAACSGodZs6nXiWr5jjyQpJ40GeqLITfNp+/4a7T1ab3eUhNY1viVRX/tpHrdGhzI0c9W72lZ9xO44iIJBN9DHjRun8ePHd58uuOACXXzxxbr99tsH/eDPPfecVq5cKUkKh8O6+eabddVVVyk/P19FRUUciRwAgHNAzQYAIDFEqmZTrxPbS9vLleX3yuNy2h0FA5Qd8MlhGHppO2NczsXzm3YpFPDJ5Uys8S2nGpOdoTSPW//+zCp1dHbaHQcRNuiDiL634BqGoVGjRmn8+MEdEO/YsWO67777dPHFF0uSli9frrq6Os2aNUuBQEAzZszQd77zHX39618fbEQAACBqNgAAiSISNZt6ndha2zu0oqhCwzICdkfBILicDoUCXi0q2K17rr3S7jgJqaq2Qe/uPaRLhofsjnJOHIahCblZ2lx1WL9/dau+/4kP2h0JETToBvo111wjSXrnnXdUVVWlMWPGDPqDuCTdd999+sIXvqDm5mZJUkFBgaZMmaJAwCoWkyZNUlFR0aC3CwAALNRsAAASQyRqNvU6sb22e5+aWtuVm6AjLFJZdsCn13ZX63hTi4LMrx+0v28pldMwEnL++Xtl+b0akZWu+196Q7e8f4LG5mTZHQkRMugGenV1tT7/+c+rtLRUI0aM0P79+3XRRRdpyZIlGjFixIC2sW7dOq1Zs0aFhYW69957JUn19fUaN25c920Mw5DT6VRtba1CodO/hQqHwwqHw93n6+uZNwUAwKmo2QAAJIZzrdmRqNcSNdtOS7eXK+BxKc3jtjsKBiknzafSI8f1jx0Vmjb5ErvjJJz5m3YplJbY41tONS43U7VVLfrmvFe08rtflGEYdkdCBAz61XnXXXfpQx/6kI4cOaLi4mIdOnRIH/zgB3XnnXcO6P4tLS2666679PjjjyszM7P7cpfLJa/X2+u2Pp9PTU1NfW7nkUceUVZWVvdp9OjRg30qAAAkNWo2AACJ4VxqdqTqtUTNtotpmlpcUKag30uzLQH53C4F/V4tLthtd5SEs6+2QRsqDibVLy9cDocm5GZp9c5KzXt3p91xECGDbqC/8cYb+ulPfyqPxyPJKsA//elP9eabbw7o/v/93/+tyZMn68Ybb+x1eXZ2to4c6X2k2oaGhu7Hea/7779fdXV13aeqqqrBPhUAAJIaNRsAgMRwLjU7UvVaombbpfjgMVXWNigniZqIqSYY8OofOyoUbmu3O0pC+fvW5BnfcqqcNL+GZwR0z4J1OtLQ/5eWSByDHuHyvve9T08//bQeeOCB7suefvppXXHFFQO6/7x583TkyBEFg0FJUlNTkxYsWKCxY8eqra2t+3YVFRUKh8PKzs7uczter/e0b9MBAEAPajYAAInhXGp2pOq1RM22y7LCcrkcDgX9NNATVW6aXxVH6/Vq6T59+rKxdsdJGPM3lSgU8CbN+JZTTcjN0qaqw/rB39fr2Ts+Y3ccnKNBN9CfeOIJXX/99Xruuec0btw4lZeXq6GhQatWrRrQ/V9//XW1t/d8I/ejH/1IU6ZM0R133KHLLrtMc+fO1Ve/+lXNnDlT1113nZxO52AjAgAAUbMBAEgU51KzqdeJb0lBmYIBr5wOxrckqrST8+sXF5TRQB+g6uONenvPAV0yvO9jMiQ6j8upcTmZeu7dnbp98qW64fKxdkfCORhwAz0cDmvt2rXKyspSSUmJli5dqpKSEn3lK1/RTTfdpIyMjAFtZ9SoUb3Op6enKzc3V7m5uZo9e7amTZum6dOnq6OjQ+vXrx/cswEAANRsAAASRCRqNvU6sR1tbNaGigOamJecTcRUYRiGQgGvFhXs1h//9RNy8GXIWf19S6kchqGcJBvfcqrhGQEdaWzWnfNWq/hnX1O6r/8RWohvA/qNxKZNmzR+/Hh9+9vf1ltvvaW0tDTdeuutWrlype677z5NmDBBmzdvHlKAOXPm6I477pAk3XLLLSotLdXs2bNVXFysyy+/fEjbBAAgVVGzAQBIDNGq2dTrxLK8qEKdpph/ngRy0nw61NCkTVWH7I6SEOZv2qXsgFfuJBzf0sUwDE3MC+pg/Qn9/OW37Y6DczCgPdDvuusuPfDAA7r77rt7Xd51QJOHHnpId911l959991zDjRy5EiNHDnynLcDAEAqomYDAJAYYlWzqdfxbdn2cmX5vfK6GK2T6Lr+f1yyrUyTLzjP7jhxbf/J8S0XJ+n4llP53S6Nyc7Ub9dt1q1XXawPj+W1kYgG9DXPzp07df311/d7/W233aaioqKIhQIAAENDzQYAIDFQs9HW0aF/7NijkJ8DtyYDh2Eo6Pdq4dbddkeJe3/fWiojyce3nGpUMF0ZXo++/sxKtXV02B0HQzCgBvoNN9yge++9V4cPHz7tusbGRv30pz/VtddeG+lsAABgkKjZAAAkBmo23ijbr4ZwG+Nbkkhumk/FB4+pvOa43VHi2vxNJcoO+JJ6fMupHCdHuew8dEz/u3qT3XEwBAN6pT755JPyeDwaMWKELrroIn3sYx/Ttddeq/e///3Ky8tTSUmJ/u///i/aWQEAwFlQswEASAzUbCzbXq6A26V0r9vuKIiQUJpPToehJdvK7Y4Stw7UNeqt8v0p98VRhs+jkcEM/fIfb6vkUK3dcTBIA5qBnpWVpUWLFqmiokJvvvmmqqur1dbWpmAwqCuvvFJTp06Ndk4AADAA1GwAABIDNRuLC8qU5ffKMAy7oyBCXA6HQn6vFm3drR984oN2x4lLf9+yW4ZhKDc9Nca3nGpsdqZqm1r0jedW69Xvf1kOB//tJ4oBNdC7jB07VmPHjo1SFAAAECnUbAAAEgM1OzWVHKpV+dE6XXF+jt1REGHZaT69WV6to43NyknBJvHZzN+8S6GAN2XGt5zK6TA0ITdLr5dV68m3C3XnR99ndyQMUOq9WgEAAAAAAGy0dHu5XA5DoQAHEE02OWl+mab08o49dkeJOwfqGvVm2X7lpsjBQ/sSCvh0fmaa7vv7eu0/3mh3HAwQDXQAAAAAAIAYeml7mYJ+r5wO2jLJxutyKuj3anHBbrujxJ2FW1N3fMupxudmqa2zU99dsNbuKBgg/lIDAAAAAADESG1Ti94s269QILUOophKggGvVhTtVXNru91R4sqCzSUpO77lVG6nQ+NzsrSooEwLt5baHQcDkNqvWAAAAAAAgBhaWbRXHaapnDQa6MkqN92v5rZ2rdlVaXeUuHGo/oTeKKtO6fEtp8pL9ysv3a+7n1+r400tdsfBWdBABwAAAAAAiJGl28uU5fPI53bZHQVREnC7lO51a8m2MrujxI2FW3fLlJSbzhdHkmQY1gFFa5ta9JPFb9gdB2dBAx0AAAAAACAG2js6taxwj4IcPDSpGYahkN+rxQVl6uw07Y4TF+ZvLlF2wCe302l3lLjhc7s0NjtTs9/crtdK99kdB2dAAx0AAAAAACAG3t6zX/UtrcphjEXSy0n3q+ZEszZWHLA7iu0ONzTp9d37eN33YURWmkJ+r/792VVqaWNmfryigQ4AAAAAABADS7eXy+92KcPrtjsKoswa0+NkjIukhVtLGd/SD8MwNDEvqIqj9XpoxUa746AfNNABAAAAAABiYMm2MmX5PTIMw+4oiDLDMBT0e7Vw6267o9hu/iZrfIuH8S19SvO6NTqUoZmr3tW26iN2x0EfaKADAAAAAABEWdmR4yo5fJwxFikkN82v0iPHVXKo1u4otjnc0KTXdu9TThp7n5/JmOwMpXnc+o9nV6mjs9PuOHgPGugAAAAAAABRtqywXE7DUIgDiKaMUMArl8NI6TEui7buPjm+hS+OzsRhGJqQm6VNlYf1h/Vb7Y6D96CBDgAAAAAAEGVLtpUpGPDK5aAVkyqcDodCAZ8WFaTuGJf5m3cxvmWAsvxejchK0/1L3lTF0Tq74+AU/NUGAAAAAACIovrmsF7bXa3sAGMsUk12wKcNew7ocEOT3VFi7khDk9aXMr5lMMblZsmQ9M15r8g0Tbvj4CQa6AAAAAAAAFG0snivOjpNZdNITDldzeNl28ttThJ7iwp2yzStWfAYGJfDofG5WVq9s1Lz3t1pdxycRAMdAAAAAAAgipZtL1emzyO/22V3FMSYx+VUMOBNyTEu8zeVKBTwyeNifMtg5Kb7NTwjoHteWKeaxma740A00AEAAAAAAKKmo7NTSwvLFfRz8NBUFQr4tHpnpU6E2+yOEjM1jc2MbzkHE3Kz1NTarh+8uN7uKBANdAAAAAAAgKjZWHFQtU1hGokpLDfNp3B7h1bv3Gt3lJhZVLBbnaapvHTGtwyFx+XU2JxMPftusVYWVdgdJ+XRQAcAAAAAAIiSZdvL5XM5lenz2B0FNgl43MrwebRkW5ndUWJm/qZdjG85R+dlBJQd8Okbz61WY0ur3XFSGg10AAAAAACAKFm8rUzBgFeGYdgdBTYK+b1asq1MHZ2ddkeJuprGZr1awviWc2UYhi7MC+pg/Qn9/OW37Y6T0migAwAAAAAAREHF0ToVHzym7ACNxFSXk+ZTbVNYb5XvtztK1C1mfEvE+D0ujcnO1G/Xbda7ew/aHSdl0UAHAAAAAACIgmXb98hhGDTQoUyfR363S0u2ldsdJeoWbC5hfEsEjQqmK8Pr0defWaW2jg6746QkGugAAAAAAABR8NL2MoUCXrmctF9SnWEYCvq9Wri1VKZp2h0nao6daNHakirGt0SQwzA0MS+o4oNH9egrm+yOk5L4Cw4AAAAAABBhDS2terV0n0J+r91RECdy033ac7RexQeP2R0lahYX7FZnp6lcxrdEVIbPo5HBdP3i5bdVcqjW7jgphwY6AAAAAABAhL2ys1JtHZ3KSaORCEvQ75Pb6dCSbWV2R4ma+ZtLFAp45WV8S8SNzc6Ux+XUN55brc7O5P0VQzyigQ4AAAAAABBhS7eXW3OvPS67oyBOOB1dY1x22x0lKo6daNGaXZV8aRQlTodDE3Kz9HpZtZ58u9DuOCmFBjoAAAAAAEAEdXaaeml7mbL8HrujIM7kpPmUX3lIB+oa7Y4ScUu2lTG+JcpCAZ/Oz0zTfX9fn5SvoXhFAx0AAAAAACCC3t17UEdPtLAnLk6Tk+aXYUgvbSu3O0rEzd+0S6GAj/EtUTY+N0vtnaa+O3+d3VFSBg10AAAAAACACFpWuEdel1OZPvZAR29up0Mhv0+LtyXXGJfaphat2VWl7DSf3VGSntvp0LicTC0s2K1FSToOKN7QQAcAAAAAAIigJdvKFPR75TAMu6MgDoUCXq3ZVaWGlla7o0TMkoIydXR2Ko/xLTGRl+5Xbrpf33p+jY43tdgdJ+nRQAcAAAAAAIiQqtoGbd9fw5646Fduul9tHZ1aWVRhd5SIWbC5RMGAl/EtMWIYhibmZqm2qUU/WfyG3XGSHg10AAAAAACACHm5sFyGIWUHaKCjb363S5k+j5ZsK7M7SkQcb2rR6p2VzPyPMZ/bpbHZmZr95na9VrrP7jhJjQY6AAAAAABAhLy0rVwhv09uJy0X9C8U8Oql7eVq6+iwO8o5W7KtTO2Mb7HFiKw0hfxe/cdzq9XS1m53nKRl21/zo0eP6q233lJNTY1dEQAAwABQswEASAzUbPudCLdpza5KhQJeu6MgzuWk+VXf0qo3yvbbHeWcLdhcohDjW2xhGIYm5gW1p6ZOD694x+44ScuWBvrzzz+viRMn6jvf+Y7GjBmj559/XpJUWFioyZMnKxQKafr06TJN0454AADgJGo2AACJgZodH9bsqlRrR6dymH+Os8jwuhVwuxJ+jMvxphatKq5UDiOLbJPmdWt0KEOPrHpH26v5AjUaYt5AP378uO655x69/vrr2rJli/785z/rJz/5icLhsG6++WZdddVVys/PV1FRkebMmRPreAAA4CRqNgAAiYGaHT+WFZZbjVGP2+4oiHOGYSgY8GrhltKE/mLrpe3lau/sVC7jW2w1JpShgMetf392pTo6O+2Ok3Ri3kBvaGjQY489piuuuEKS9P73v1+1tbVavny56urqNGvWLE2YMEEzZszQk08+Get4AADgJGo2AACJgZodHzo7TS3ZVqYsP+NbMDC5aX5VHW/U9v2Ju9fwgk3W+Baf22V3lJTmcBiamJulTZWH9Yf1W+2Ok3Ri3kAfPXq0brvtNklSW1ubHn30UX3xi19UQUGBpkyZokAgIEmaNGmSioqK+t1OOBxWfX19rxMAAIgcajYAAImBmh0ftuw7rMMNzYxvwYAFA155nI6EHeNS1xzWqp17lc34lriQ5fdqRFaa7l/ypvYe5e93JNl2ENGCggINHz5cq1at0mOPPab6+nqNGzeu+3rDMOR0OlVbW9vn/R955BFlZWV1n0aPHh2r6AAApBRqNgAAiYGaba9l28vlcTrYAx0D5jg5xuXvW0rtjjIkL20rU1tHp/IY3xI3xuVmyZB0199eSejRQPHGtgb6pEmTtGbNGl1++eX6+te/LpfLJa+3d5Hx+Xxqamrq8/7333+/6urquk9VVVWxiA0AQMqhZgMAkBio2fZavK1MwYBXDsOwOwoSSE6aXwXVNaqqbbA7yqC9sLlUIT/jW+KJy+HQ+NwsrSzeq7/l77I7TtKwrYFuGIauvPJKzZkzR0uWLFF2draOHDnS6zYNDQ3yeDx93t/r9SozM7PXCQAARB41GwCAxEDNts/+443auu+IcgLsiYvByQ745DAMvZRgY1zqm8NaWVyhbEYWxZ3cdL+GZfj13QVrVdPYbHecpBDzBvratWs1ffr07vMul/Ut1SWXXKINGzZ0X15RUaFwOKzs7OxYRwQAAKJmAwCQKKjZ9nt5xx4ZkrLTGN+CwXE7HQoFvFpUsNvuKIOydHu5WhnfErcm5gbV1NquH7y43u4oSSHmDfRLLrlEf/7znzV79mxVVVXpP//zP3X99dfrxhtvVF1dnebOnStJmjlzpq677jo5nc5YRwQAAKJmAwCQKKjZ9lu6rVzBgFdu1hZDEAr4tL60WnXNYbujDNiCzSWMb4ljHpdTY3My9ey7xVpZVGF3nIQX8wb6iBEj9MILL+ixxx7T5ZdfrqamJj3zzDNyuVyaPXu2vvWtb2n48OF68cUXNXPmzFjHAwAAJ1GzAQBIDNRsezW3tmvVzr0K+RllgaHJTfOpvbNTy3dU2B1lQOqbw1pRxPiWeHdeRkDZAZ/unLdaJ8JtdsdJaLZ8TfTpT39aRUVFp11+yy23qLS0VPn5+Zo6dary8vJsSAcAALpQswEASAzUbPusK6lSuL1DOTQTMUQ+t0tZfo+WbNutWz90sd1xzmpZ4R7GtyQAwzB0YV5Qm6oO6efL3tKv/79r7I6UsOLudxYjR47UyJEj7Y4BAADOgpoNAEBioGZH19Lt5Ur3uhXwxF2LBQkk5PdZjen2Dnlc8T0KaMHmEgUZ35IQ/B6XxmRn6rF1m3Xrhy7W5AvOsztSQor5CBcAAAAAAIBkYJqmlmwrU5bfK8Mw7I6DBJaT7lNjuE3rS/fZHeWMGlpatXzHHn5xkUBGBdOV4fXo68+sUltHh91xEhJfFQEAeikuLrY7Qp9yc3M1ZswYu2MAABA3ig8esztCnzJ8Hl04LGR3DCAmCvYd0YH6E5o0MtfuKEhw6R630jwuLdlWpk9deoHdcfq1rLCc8S0JxmEYmpgX1JZ9h/XoK5t0/6c/bHekhEMDHQAgSWqtPy7J0O233253lD75/H7t2rmTJjoAIOU5HdZerrc/vcLmJP0refAOmuhICcsK98jtdCjo99odBQnOMAwFAz4tKtit3//Lx+P2Fw0LNjG+JRFl+DwaGUzXgy+/rZvfN15XjOBLv8Hg1Q4AkCS1N5+QZGrsl+5UzpgJdsfppelwtYqf/b1qampooAMAUl7A49aHLxiujk7T7iinaWptV/GhY2poabU7ChATS7aVKej3yhGnzU4kltw0nwqqa7Sl6rA+OGa43XFO09jSquVFFRoZTLc7CoZgbHaWjje3atpTy5X/k2lxP2s/ntBABwD04s87Xxmjx9sdAwAAnEHA47Y7ApDyDtWf0KbKQ7p4OL+2QGRk+b3yupxavK0sLhvoywr3KNzewfiWBOV0GLooL6gt+47o/y3foIdu/qjdkRIGBxEFAAAAAAAYpH/sqJAkZQc4mCIiw2EYCvq9Wrh1t91R+rRg8y4F/V75Gd+SsDJ8Hl2QnaFHVr6jt8v32x0nYdBABwAAAAAAGKSXTo5vYQwCIiknzacdB45qT02d3VF6aWxp1T92VPCFURIYHcpQps+r2+Ys14lwm91xEgINdAAAAAAAgEEIt7VrZfFeBQMcPBSRlZ3mk9Mw9NL2Mruj9PLyjpPjWzIY35LoHIahi4YFVVXbqB8tes3uOAmBBjoAAAAAAMAgvFq6T81t7cpJo5mIyHI5HAoGvFpUEF8N9AWbS5TF+JakEfC4NS4nU0+8vk0riyrsjhP3aKADAAAAAAAMwrLCPUrzuJTmoZmIyMsO+PTG7modO9FidxRJ0olwm14u3KMcfnGRVEZkpSknzaevzl0ZN6+1eEUDHQAAAAAAYIBM09Tigt3K8ntlGIbdcZCEctP96jBN/WPHHrujSJJeLiw/Ob4lYHcURJBhGLpoWEh1zWF9+/k1dseJazTQAQAAAAAABmjHgaPad7yR8S2IGq/LqaDfq8VxMsblhS2lyvJ7GN+ShLwup8bnZmn+5hI9n7/L7jhxiwY6AAAAAADAAC0rLJfb6VDQzzgLRE8o4NXyoj0Kt7XbmqOptU3LCsuVHfDZmgPRMzwjoGEZfn3rb6+o+nij3XHiEg10AAAAAACAAVpSUKag3yung/EtiJ6cNL+aWtu1tqTK1hz/KNyjlrYODUtnfEsyuzAvpNaOTn39mZUyTdPuOHGHBjoAAAAAAMAA1DQ2a2PFQfbGRdSleVxK97q1ZJu9Y1wWbC6xxrdwwNyk5nY6NDEvqNU7K/XE69vsjhN3aKADAAAAAAAMwD927JEpKTuNBjqiyzAMBf1eLdy6W52d9uwR3NTapqWMb0kZOWk+jchK0w8Xrlfp4Vq748QVGugAAAAAAAADsHR7uYJ+r7wup91RkAJy0/060tisd/cetOXxl++oUEtbh/IY35IyJuRmyeVw6PY5y9Xe0Wl3nLhBAx0AAAAAAOAsWts7tHxHBQcPRcxk+jzyuZy2jXFZsLlEWT6PAoxvSRlOh0MX5gX17t5D+tXqfLvjxA0a6AAAAAAAAGfx+u5qnWhtUw7jWxAjDsNQMGCNcYm15tZ2Ld1ezriiFJTl92p0KEM/f/ktbak6bHecuEADHQAAAAAA4CyWFpYr4LYO7AjESk6aX7sO12r34eMxfdzlRXvU3NauvHR/TB8X8WFsTqbSPG5Ne+ofamlrtzuO7WigAwAAAAAAnIFpmlpcsFtZfq8Mw7A7DlJIdsArl8OI+RiXFzaXKNPnUcDDF0apyGEYumhYSKWHj+tnS9+yO47taKADAAAAAACcwc5Dx7T3WINy0xlngdhyOhwK+r1aVBC7MS7Nre1aso3xLaku3evWBTmZ+vWaTVpfus/uOLaigQ4AAAAAAHAGy7bvkcthKOinoYjYy07z6+09+1XT2ByTx1tRVKHmtnYNY3xLyhsdTFcw4NVXnl6u+uaw3XFsQwMdAAAAAADgDF7aXqZgwCeng/EtiL3cNJ9MU1q2vTwmj8f4FnQxTo5yOVjfpO//fb3dcWxDAx0AAAAAAKAfx0606O3yA8oOeO2OghTlcTmV5fdqcQzmoDe3tmvJ9jJlB/i1BSx+t0vjc7L01Ns79FKMZ/HHCxroAAAAAAAA/VhRVKEO01ROGuMsYJ/sgFcriyvU3Noe1cdZWVyhptZ25WXwekeP8zIDyk3369+fXaUjDU12x4k5GugAAAAAAAD9WLq9TFl+j7wup91RkMJy0/1qaevQK7v2RvVxusa3pDG+BacwDEMX5QV1Itymb857RaZp2h0ppmigAwAAAAAA9KGto0P/2FGhoJ/xLbBXwONWhtetxQXRG6HR0tauJdvKGd+CPnlcTk3IC2rxtjI9806x3XFiigY6AAAAAABAH94s26/6llbGtyAuBANeLS4oU0dnZ1S2v6p4r060tjG+Bf3KS/frvMyAvjN/rSqP1dsdJ2ZooAMAAAAAAPRhWeEe+d0uZXgZZwH75ab5daypRRv2HIjK9hnfgoGYmBtUp2nqq3NXqrMzNUa5uOwOgKGrrKxUTU2N3TH6VFycWj/lAADgTEoP16qhpdXuGKcpPnjM7ggAAMS1xQW7FfR7ZRiG3VEAZfo88rmdWrKtTB+dMDKi2w63tWvxtjLl8msLnIXL6dCFeUGtL92n3726Rd//xAftjhR1NNATVGVlpS6+5BK1NDfbHeWMWtva7I4AAICtSg/X6qJfzrE7xhk5HTQFAAB4r+KDR1VWU6crzs+xOwogyTqQY9Dv1cKtu/WrL1wd0W2v2rlXjeE2XTo8O6LbRXIKBXwaGUzXTxa/rusvvUCXJfnfSRroCaqmpkYtzc269PZ7FBgW2W8dI+Fo8RZVLJ+v9nYa6ACA1Na15/mlw7MV8MTfWy+nw1CAn+kCAHCa36zdLJ/bqRAHVEQcyU3zq/DAUe08eEyXnBe5ZvcLm0ut8S2MK8IAjc/JUn1zWLfPWa6NP/43uZ1OuyNFTfx9isOgBIaNVMbo8XbHOE3ToWq7IwAAEFcCHpcyfB67YwAAgAHYf7xRczYUaVQwnV9qIa6EAj65HA4t2VYWsQZ6uK1diwp2KyeNL4swcE6HoQuHhbRl32E9tHyjfnnTVLsjRQ0HEQUAAAAAADjFY+s2y5A0Mivd7ihAL06HoVDAGuMSKat3Vqox3KZh6YGIbROpIdPn0QWhTD204h29U3HQ7jhRQwMdAAAAAADgpNqmFv3xtQKdl5kml5O2CeJPdppP7+49qEP1JyKyvRc2lyiD8S0YojHZGcr0eTTtqX+oqTU5RzlTCQAAAAAAAE764/oCtbZ3aFSQvc8Rn7pGrSzdXn7O2+oa35Id8J7ztpCaHIahC4cFtfdYvX6y+A2740SFLQ30JUuWaPz48XK5XPrIRz6i4uJiSVJhYaEmT56sUCik6dOnyzRNO+IBAICTqNkAACQGanZkNLW2adbaTRqWEZDHlbwHxENi8zidCga8WlxQds7bemVXpRrCbcpjfAvOQZrHrbE5mfrD+q1aXbzX7jgRF/MGellZmb7+9a9r5syZqq6u1gUXXKBvfOMbCofDuvnmm3XVVVcpPz9fRUVFmjNnTqzjAQCAk6jZAAAkBmp25Dz5VqHqmsMaHcqwOwpwRtkBn1bv3KvGltZz2s4Lm0uU4XUrzeOKUDKkqpFZ6coO+PTVuStU29Rid5yIinkDvbi4WDNmzNC//Mu/aPjw4br77ruVn5+v5cuXq66uTrNmzdKECRM0Y8YMPfnkk7GOBwAATqJmAwCQGKjZkdHW0aH/WZ2vvPSA/G6aiYhvuWl+tXZ0atXOoe/t29reoUUFZcpO88kwjAimQyoyDEMXDQvq2IkW3bNgnd1xIirmFeGmm27qdX7Xrl2aOHGiCgoKNGXKFAUC1k9GJk2apKKion63Ew6HFQ6Hu8/X19dHJzAAACmKmg0AQGKgZkfGvHd3qvp4oz40ZrjdUYCz8ntcyvR5tKSgTF/8wIVD2sYrOytV39Kqi4YFIxsOKcvndml8bpaee3enbpk0QV/64EV2R4oIWw8i2traqkcffVTf/va3VV9fr3HjxnVfZxiGnE6namtr+7zvI488oqysrO7T6NGjYxUbAICUQ80GACAxULOHprPT1IyV7yo3zad0r9vuOMCABP1eLdlervaOziHdv2d8C695RM7wjICGZfh157xXdKCu0e44EWFrA/2BBx5Qenq6vvnNb8rlcsnr7X3EX5/Pp6ampj7ve//996uurq77VFVVFYvIAACkJGo2AACJgZo9NC9tL1PJ4VpmnyOh5Kb7Vdcc1pvl+wd939b2Di0s2K1QgPEtiCzDMDQxL6iW9nb9+7Ork+Lg1bYN9Vq9erWeeOIJbdiwQW63W9nZ2SosLOx1m4aGBnk8nj7v7/V6T3sjAAAAIo+aDQBAYqBmD41pmnpoxUZlB3zK8qfe80fiyvC65Xe7tGRbma65cNSg7rtmF+NbED0ep1MTc4NaUVSh/3urUHd+9H12RzontuyBXl5erttuu02PP/64LrvsMknS5MmTtWHDhu7bVFRUKBwOKzs7246IAABA1GwAABIFNXvoXi3dp02VhzUymG53FGBQDMNQ0O/Vwq2lg97L94XNpUpnfAuiKDfdr/Mz0/S9F15V2ZHjdsc5JzFvoDc3N+umm27SLbfcos9//vNqbGxUY2OjPvaxj6murk5z586VJM2cOVPXXXednE5nrCMCAABRswEASBTU7HPz8IqNyvJ5lB1g73Mkntx0n/Yea9COA0cHfJ+2jg4t3FqqbMa3IMom5GXJYRj6ytMr1NE5tFn98SDmI1xWrlyp4uJiFRcX6y9/+Uv35Xv27NHs2bM1bdo0TZ8+XR0dHVq/fn2s4wEAgJOo2QAAJAZq9tBtqjykNbuqdNl52TQSkZBCfp/cToeWbCvTFSNyB3SftbuqVNfSqomMb0GUuRwOXTgsqA17DujXazbpx5+abHekIYl5A/2WW27p92clY8eOVWlpqfLz8zV16lTl5eXFOB0AAOhCzQYAIDFQs4fukZXvKN3rVl663+4owJA4HF1jXHbrpzd8ZED3eWGLNb4lnfEtiIGg36tRoXQ9sPQt3XDZWE0amXh1yLaDiPZn5MiRGjlypN0xAADAWVCzAQBIDNTsvu06dEwLt+7WhcOC7H2OhJaT5tPmqsPaf7xRI84yy7+to0MvbmF8C2JrXHaW6ppbNe2p5dr0k2nyuuOuJX1GthxEFAAAAAAAwE7/szpfPrdL52Wk2R0FOCc5aX4ZhvTS9rKz3nZdyT7VNYf51QViyuEwdNGwoIoPHtODL79td5xBo4EOAAAAAABSyr7aBj2zsVjnZ6XJ4WAvXCQ2t9OhkN+nhVt3n/W2L2wusca3eBnfgthK93p0QXaGfrU6X2/srrY7zqDQQAcAAAAAACll1trNcjgMjchi73Mkh+w0r9aV7FN9c7jf2zC+BXYbE8pQ0O/V7U8vV0NLq91xBowGOgAAAAAASBlHG5v1xOvbdH5mQC4HbREkh9w0v9o7O7WiqKLf27xask/HGd8CGxmGoYuGhbS/7oTuW7je7jgDRqUAAAAAAAAp4/frt6qto0Mjs858sEUgkfjcLmX5PFqyrf856C9sKVGah/EtsJff49K4nEz95c1C/aNwj91xBoQGOgAAAAAASAmNLa367botGp6ZJo/LaXccIKKCAa+WFe5RW0fHade1d3Ra41vSvIxvge3Oz0xTbppPdzyzUjWNzXbHOSsa6AAAAAAAICX85a1C1be0anSQvc+RfHLT/KpvadVrpacfoPHV0irVNoWVlx6wIRnQm2EYunBYSPUtrfrW316RaZp2RzojGugAAAAAACDphdva9avV72pYhl8+t8vuOEDEpXvdCnhcfY5xeWFzqdI8bmUwvgVxwutyakJulv6+dbfmvbvT7jhnRAMdAAAAAAAkvefe3amD9U0aHcqwOwoQFYZhKOj3auHW3b326G3v6NQLW0oY34K4MywjoOEZAd39/Brtq22wO06/aKADAAAAAICk1tHZqRkr31Feul9pHvbARfLKTfOruq5RBfuOdF+2vnQf41sQtybmBdXRaeprc1eqszM+R7nQQAcAAAAAAElt0dbdKqupY+9zJL1gwCuP09FrjMsLW0oY34K45XY6NDEvqLUlVfrTawV2x+kTDXQAAAAAAJC0TNPUQyveUXbAp0yfx+44QFQ5DEPBgE8LC3ZLOjm+ZXOpsgOMb0H8yk7zaWRWun606DXtOnTM7jinoYEOAAAAAACS1is7K1VQfUSjQul2RwFiIifNp23VNdp7tF6v7d6nY00tystgfAvi2/jcTLmdDt0+Z7naOzrtjtMLDXQAAAAAAJC0Hl75jrL8HoX8XrujADGRE/DJYRh6aXuZXthcqjSPi/EtiHtOh0MXDQtqU+VhPbLqHbvj9EIDHQAAAAAAJKWNew5ofek+jcpKZ3wFUobL6VAo4NWLW0r1wpYShQI+Xv9ICJk+r8ZkZ+iX/9igTZWH7I7TjQY6AAAAAABISo+selcZXrdy0/12RwFiKjvg02u7q3X0RIuGZfD6R+K4IDtT6R63pj21XM2t7XbHkSS57A4AIDEVFxfbHeE08ZgJkRXP/x/n5uZqzJgxdscAgF6KD8bfQZik+M2FyInn/48zfB5dOCxkdwzEQNGBo1qyrUwXDwux9y1STk6aT6VHdHJ8CwfPReJwGIYuGhbS5n2H9V8vvaHffOlauyPRQAcwOK31xyUZuv322+2O0q/Wtja7IyDCEuF15/P7tWvnTproAOKC02E1im5/eoXNSc6sKyeSR6K89koevIMmegr4n1XvKuB2aXgmB09E6vG5XcpJ8ynD5+ELJCScNK9bI7PS9cTr22igA0g87c0nJJka+6U7lTNmgt1xejlavEUVy+ervZ0GerKJ59edJDUdrlbxs79XTU0NDXQAcSHgcevDFwxXR6dpd5R+OR2GAh4OaJZs4v2119TaruJDx9TQ0mp3FETZ3qP1ei5/p8ZmZ8pB8xAp6n0jcu2OAAyZ1+VUe5y8n6CBDmBI/HnnK2P0eLtj9NJ0qNruCIiyeHzdAUC8ojkNu/DaQzz49ZpNcjkcOj8rze4oAIAEx0FEAQAAAABA0jjS0KTZb27X+ZlpcjloewAAzg2VBAAAAAAAJI3fvrpFnaapkcF0u6MAAJIADXQAAAAAAJAU6pvD+v2rWzU8IyC3k5YHAODcUU0AAAAAAEBS+PMb29UYbtMo9j4HAEQIDXQAAAAAAJDwWtra9b+v5Gt4RkA+t8vuOACAJEEDHQAAAAAAJLy5G4tU09is0SH2PgcARA4NdAAAAAAAkNDaOzr1yKp3lZfuV8DjtjsOACCJ0EAHAAAAAAAJ7cUtpao4Wq/RoQy7owAAkgwNdAAAAAAAkLBM09TDKzYqJ82nDJ/H7jgAgCRDAx0AAAAAACSsFUUVKjxwVKOCzD4HAEQeDXQAAAAAAJCwHl7xjoJ+r4J+r91RAABJiAY6AAAAAABISG+WVevN8v0aFUyXYRh2xwEAJCEa6AAAAAAAICHNWPmOMnwe5aT57I4CAEhSNNABAAAAAEDC2V5do3/sqNDIrDT2PgcARA0NdAAAAAAAkHAeWfWO0jwuDcsI2B0FAJDEaKADAAAAAICEUl5zXPM37dL5WelysPc5ACCKaKADAAAAAICE8ugrm+RxOnV+JnufAwCiy7YG+tGjRzVu3DhVVFR0X1ZYWKjJkycrFApp+vTpMk3TrngAAOAkajYAAPEvler1wboTevKtQp2flSang/0CAQDRZUulqamp0U033dSrsIfDYd1888266qqrlJ+fr6KiIs2ZM8eOeAAA4CRqNgAA8S/V6vVj6zbLlDQiK93uKACAFGBLA/3WW2/Vrbfe2uuy5cuXq66uTrNmzdKECRM0Y8YMPfnkk3bEAwAAJ1GzAQCIf6lUr+uaw/rjawU6LzMgt5O9zwEA0WdLtZk9e7a+973v9bqsoKBAU6ZMUSBgzS+bNGmSioqK+t1GOBxWfX19rxMAAIgsajYAAPEvEvVaSoya/afXCtTc1q5RwQy7owAAUoQtDfTx48efdll9fb3GjRvXfd4wDDmdTtXW1va5jUceeURZWVndp9GjR0ctLwAAqYqaDQBA/ItEvZbiv2Y3t7br12s2aXhGQF6X0+44AIAUETe/d3K5XPJ6vb0u8/l8ampq6vP2999/v+rq6rpPVVVVsYgJAEDKo2YDABD/Bluvpfiv2U9t2KFjJ1o0mr3PAQAx5LI7QJfs7GwVFhb2uqyhoUEej6fP23u93tPeDAAAgOijZgMAEP8GW6+l+K7Z7R2dmrnqHeVlBOT3xE0rAwCQAuJmD/TJkydrw4YN3ecrKioUDoeVnZ1tYyoAAPBe1GwAAOJfstXr5zftUlVto8aE0u2OAgBIMXHTQL/66qtVV1enuXPnSpJmzpyp6667Tk4nc80AAIgn1GwAAOJfMtX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      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "element_values = [\"bars\",\"step\",\"poly\"] # 三种箱子呈现方式，默认为“bars”\n",
    "num_rows = 1\n",
    "num_cols = 3\n",
    "fig,axes = plt.subplots(num_rows,num_cols,figsize=(15,5*num_rows))\n",
    "for i,element in enumerate(element_values):\n",
    "    sns.histplot(\n",
    "        penguins,\n",
    "        x=\"鳍长 (毫米)\",\n",
    "        element=element,  # 指定箱子呈现方式\n",
    "        ax=axes[i],\n",
    "        color=\"#006a8e\"\n",
    "    )\n",
    "    axes[i].set_title(f\"element='{element}'\",fontsize=14,color=\"blue\")\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e14ad519-6b50-4611-bc6b-d3c8632c672a",
   "metadata": {},
   "source": [
    "直方图-数据统计方式"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e45dabde-a1a1-42df-adf8-c7bd5eb2b815",
   "metadata": {},
   "source": [
    "变量的数据统计方式，包含5类："
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2130146-6f60-4c50-909d-d17a13320b21",
   "metadata": {},
   "source": [
    "count：每个箱中的观测数量，displot中默认统计方式，前面几节都是使用该方\n",
    "式，不过多介绍。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "46c52b2a-feef-456f-bd9d-bd41417eea73",
   "metadata": {},
   "source": [
    "frequency：每个箱中的观测数量除以箱宽"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d0933499-f557-4f84-9f05-81b3b13531b8",
   "metadata": {},
   "source": [
    "probability 或 proportion：标准化使得条形的高度总和为1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb973098-16da-4868-8231-97b2c81f1b4b",
   "metadata": {},
   "source": [
    "percent：标准化使得条形的高度总和为100"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "50467a7c-c23a-47a7-b3a4-236ba805d7b0",
   "metadata": {},
   "source": [
    "density：标准化使得直方图的总面积等于1。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "6cdb0d96-ed9f-4063-bda8-5dad4385cb78",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "stat_values = [\"frequency\",\"probability\",\"percent\",\"density\"]\n",
    "num_rows = 2\n",
    "num_cols = 2\n",
    "\n",
    "fig,axes = plt.subplots(num_rows,num_cols,figsize=(15,5*num_rows))\n",
    "for i,stat in enumerate(stat_values):\n",
    "    row = i // num_cols\n",
    "    col = i % num_cols\n",
    "    sns.histplot(\n",
    "        penguins,\n",
    "        x=\"鳍长 (毫米)\",\n",
    "        stat=stat,  # 设置数据统计方式\n",
    "        ax=axes[row,col],\n",
    "        color=\"#006a8e\"\n",
    "    )\n",
    "    axes[row,col].set_title(f\"stat='{stat}'\",fontsize=14,color=\"blue\")\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b461a7e9-474a-47df-8035-1beea795c295",
   "metadata": {},
   "source": [
    "分组直方图-图层叠加"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "34934597-36da-44c0-bd94-c2efe27d5cbb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 612.875x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(\n",
    "    penguins,\n",
    "    x=\"鳍长 (毫米)\",\n",
    "    kind='hist',\n",
    "    hue=\"企鹅的种类\",  # hue指定分组\n",
    "    palette=['#006a8e',\"#b1283a\",\"#a8a6a7\"],\n",
    "    multiple='layer' # 指定按照layer叠加，multiple=\"stack\"\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "e6906cd1-dfd3-42a9-b148-b73ed3398252",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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3zmn54sWLdebMmcsP+wtUVFS49PWqctlF7A9/+IPsdrvTss2bN6t9+/ZXLRQAADAjLS1NM2bMUFxcnEpKSi643alTp3T48GHdcsst2rBhg2P5uXPnNGzYsEpd4bwjR45o3LhxTidwsrOz9fDDD+vEiRMXfL2Kigpt3bpVzzzzjPLz8x3Lk5OT1bp16wvu9/nnnyshIcEx7+3traNHj0qSZs+erUmTJl1wX1fwuNwdXn/9dc2aNUve3t6OZR06dFBmZuZVDQbUF+np6aYjVCk4OFhhYWGmYwBwoYKCAv32t7/VCy+8oJ07d2rixIlatGiR3Nz+c95m9+7dmjhxor7++ms98cQT8vT0VF5env7yl78oIiJCjz32mJo2barevXuroKBA9913n15++WXH/t99953uvPNONWzY0LHs448/1s033yxPT08dOHBAktSkSRMFBAQoKSlJzz//vH744QdZlqUpU6bo1KlT8vf3l/RjsfppJ/lvfn5+euaZZ3TNNddo5MiR8vT0lI+Pj7799lvNnj1ba9asudrDeFkuuYgtXbpU0o+nFJcvXy5fX1/H/L///W/dfPPN1ZMQqKNK8s5KsumBBx4wHaVKDXx8tHfPHsoYUE8UFhbqnnvuUdeuXfXEE0/o9OnTuuWWW/T//t//05tvvqnAwEBJUtu2bfXiiy9q2LBhiouL04YNGxQeHq5HHnlETz31lAYOHKhRo0ape/fumj9/vgoLCx2v0apVK508eVLl5eUKDg5WQECADh48qGXLlunEiRMaNGiQJOnEiRN66aWX9Ic//EG//vWv1alTJ3333XeaNWuWpk6dqrKyMk2fPt2x7alTpxzzHTt21PDhw1VeXi673a4bb7xRb7/9tlasWKGRI0c6sixdulTx8fG69dZbVVRUJE9PT3l4XPb5qV/skl/xrbfekiTZbDa98847jrBubm5q3bq1VqxYUT0JgTqqrOicJEvhw8apcVgr03GcFJ7MUvqyV5SdnU0RA+qB1NRUjRgxQl27dtXixYuVmpqq2bNna+PGjbrzzjt1/fXX67nnntPvfvc7NWrUSL169XLaPzg4WNu3b9dXX32ltLQ0/e1vf1PHjh3l5uam4OBgx3b5+fnavXu3wsPDlZGRoe7du+vgwYPasWOHjhw54jjJ89BDDznOcnl5eSkkJETfffedJKm8vFzl5eV66aWX9PHHHyszM1P//ve/1atXL3344Yf6+OOPNXz4cH399dfq27evGjZsKE9PT0mSu7u7Kioq1K1bN9lsNtlsNs2ePVtFRUVasmSJ7rzzTheMtrNLLmKffPKJpB+L10cffeR0ShHAlfNpcq38QyNNxwBQDx07dkzx8fFKTEzUiy++qCeeeELSj9d5bd68WaGhofrqq680YcIEPf7443rmmWf05z//WXPmzFFOTo7Cw8N1/PhxdenSRYWFhXryySclSfPnz9fp06f1+uuvq127do7X++lHnNKPJ3eeeeYZjRs3zlHCJKm0tFQNGjSQJE2bNk2rVq3SmTNnVFJSovDwcE2ZMkWS1Lt3b+3Zs0fXXHON+vTpowMHDig5OVmS1K1bN+Xk5Ej68dO76dOna+vWrUpJSdHmzZvVv39/xcbGauzYsbLZbNU0wj/vsi/WHz9+/EU/iwUAALVDRUWFDh06pO3bt2vkyJGOi9jd3d3l7u4uSfL399c777yjTZs2aeLEiZo8ebJOnjypwMBAZWRkKCYmRu+//74OHz6s6667TpJ03XXXacmSJVqxYsXPfplv8uTJ6tu3r55++mnHstLSUkfXmDNnjuN1YmJitGnTJkdhvBRpaWm66667lJKSoqSkJEk/XleWmJiov/71r+rTp4+OHDly6YN2lV12EVuwYIEk6ejRo8rMzHSaAABA7REWFqZ169apY8eOevXVV/X444871h07dkzBwcFq3LixvL29tWPHDs2ZM8dxpkqS7Ha7mjRpouLiYiUlJcmyLMe6nj17asOGDbrpppucXrNLly4KDg5Wly5dJEm33HKL2rZtq1deeUVpaWmSpOLiYqeTPllZWdqyZYsqKio0ePBgp29pXkhpaanuvvtu3XHHHRo2bJjWr1+vgIAAtWjRQpLUvXt3paSkKCQkRPfdd59Tdle67KvS/ud//kexsbEqKSlxCm2z2biXGAAAtZSfn5/8/Pwc86GhocrIyKi0XV5enj777DPl5uZq6NChatu2rVJSUrRy5UrNnDlTycnJ6tixo2P7PXv26MSJE2rcuLEk6ZtvvnFcIxYTEyNJat68uYYPH6558+YpISFBxcXF8vHxcRzjhRde0K233qry8nLNmDFD27Ztk/TjFwdKS0uVnZ2t8PBw5efna/DgwZJ+/Bg0NjZWXbp00TXXXOM4lt1u1+7du3XttdfKx8dHS5Ys0enTp1VWVua4lsyVLvuM2J/+9CfNnj1bxcXFqqiocEyUMAAAaq/zF6//nMTERCUmJsrf319r165Vhw4d9PLLL+uZZ57RgAEDlJqaqtTUVKWkpCg1NVV+fn4KCgr62eM+/PDDCgkJkfTjNzgDAgIkSR999JGSkpI0ceJESdL999/v+Ibk3r17tXbtWrVp00YZGRl66aWXVFRUJEl67733dN999+mGG25QeHi4wsPD1bx5cx07dky/+c1vHMvCw8MVFRWlF1544YrG7Ze67DNiDRs21B133GGkNQIAALMmT56syZMnKzg4WB4eHiouLpaHh4cGDBigVq1aqUGDBrLZbCoqKtLhw4fl5uZ2SQWve/fu6t69uyQpJyfH8aXAL7/8UnPnznU6W+fh4aGvvvqq0jXrEyZM0IQJEyRJw4cP1/Dhw53WP/jggzp+/Lj27t2rzz77TC1btvxFY3E1XPYZsVdeeUUPP/ywUlNTqyMPAABwoZKSEpWWlv7sduXl5SorK5P047cQbTab9u3bp9mzZ6tRo0b66quv9MYbb+jgwYM6cOCAsrKydObMGadvQ5aVlTldI3b+eD+VlZWl77//3nF27Pnnn9fw4cNlWZbjkig3NzfdfPPNstlsqqio+Nnru0pKShQbG6uvvvpK7733nmbNmqXbbrtNH3zwwSWPU3W57DNikydP1unTp3XTTTcpMDDQ6TYWhw4duqrhAOC/ZWZmKjs723SMSnbv3u34xllN07VrV/Xv3990DNRQr7zyimbOnOm4P+hP7/v1058rKir097//Xb169dKTTz6psLAwpaamaubMmQoKCtKgQYM0fvx4x5+1tWvX6uOPP3ZcHC9JQ4cOVXx8vIKDg5WTk6P58+c71n377bd64IEHFBkZqbffftvpDJj0Y/k6fzf9nyotLVVxcXGl5WfPntXnn3+uTz/9VO+884569+6tbdu2yc/PT7/5zW8UERGhBx98UM8884xGjhyp3/zmN2rbtu0VjuKVu+wilpiYWA0xAODnZWZmqu0NN6j4/64BwaWx2WzKyMjg5ryo0tSpUzV16tRL3r6iokJ9+/bV3/72N1177bWO5WvWrFHPnj0d8xkZGSovL9fChQsdyxYtWuT4OTAwUDNmzHDMR0VF6dtvv73g6/bt21d9+/attPyWW27RwYMHKy3Pzs7W9OnT1a9fP23atMnpfmaSFB0drV27dmnlypVKTEzUiBEjLv7Gq8llF7GIiIjqyAEAPys7O1vFRUVq98Ak+TYNMR3H4XTmQWWsWqTbb7vtog8fNiE7O1trk5J4SgKuGjc3N40dO7bS8v8+6zp58mRXRapS69attWPHjotu4+bmphEjRhgrYdIVFLHw8HDZbDbH57E/vQCPb04CcAXfpiE16mkEhUU/Pkvv1ltvVZ87+hhO42zf/n1a+383sQRQ81z2xfrnb1VRUVGhc+fO6ZNPPlGvXr20adOm6sgHAABQZ/2ix4z7+Pjo9ttv19q1a3X77bfr66+/vlq5AAAA6rzLPiNWlZMnT+r48eNX41AAAAD1xmUXsYiICEVGRjqm6667Tm3bttUDDzxwRQH69evn+CZmamqqoqOjFRgYqNjYWGPPfQIAAHCFX3z7CpvNppYtWyoy8vIvnH3nnXf0r3/9S8OHD5fdbtfgwYPVt29frVy5UpMnT1ZiYmKV38wAAACoCy67iJ2/R8iXX36po0ePKiws7IpK2JkzZzR16lTHzdPWrVun3NxczZ07V76+voqLi9MjjzxCEQMA4AJceYPj4ODgK7oFyqZNm9SnTx9lZWU53dz1vIyMDEVERFzyp2CffvqpxowZU+UDyS+2rqa67CKWlZWle+65R/v371eLFi30/fffq02bNlqzZk2VA3whU6dO1dChQx0P59y1a5diYmIcj0KIiopSWlraBfe32+2y2+2O+by8vMt9KwBqqdOZBx23jKgJco9lmI6AesjVNzhu4OOjvXv2XHYZ27BhgyRp48aN+t3vflcd0RxuvfXWi94Utia67CI2fvx43Xzzzfriiy/k5eWl4uJiPfbYYxo3bpw++uijSzrGJ598ok2bNik1NdVxw7e8vDynm8XabDa5u7srJydHgYGBlY4RHx+v559//nLjA6jF7Ha7ZLMpY9Win9/Y5WxVPjcPqC6uvMFx4ckspS975YpuDLxx40b16tXLJUXMw8PD6dGLtcFlF7Ft27Zp9+7d8vLykiQ1aNBAzz77rKKioi5p/+LiYo0fP14LFixwGiwPD49KT1Fv0KCBCgsLqyxi06ZN05QpUxzzeXl5Cg0Nvdy3A6AW8fb2lixL4zp107V+AabjOGScztbS9B2OZ/UBrlTTbnD8U6dOndKuXbu0Zs0aPfTQQ46HhX/44Yd6/PHHlZOTo0mTJjnt89VXX+nRRx/Vnj17dMcdd+itt95SQMCl/X2/0EeT69evV2xsrI4ePaphw4bp1VdfrdQ5TLns3xo33nijlixZounTpzuWLVmyRB07dryk/WfOnKno6GgNHDjQaXlQUJBSU1OdluXn5zsK33/z9vauMYMIwLViQsLVtnET0zEcdnh6a2n6xR+lAtRHGzduVJs2bdSnTx/l5ORo9+7datasmX77299q3rx56t27t9Pjhc6ePav+/ftr8uTJeu+99/Twww9r6tSpeuONN644w8GDB3XPPfdowYIF6tmzp4YNG6aXX37ZqceYdNlFbOHChbrrrrv0zjvvKCIiQocOHVJ+fr7jM+Cfs3z5cp06dUqNGjWSJBUWFurdd99VeHi4SktLHdtlZGTIbrcrKCjociMCAIAaYOPGjYqJiVGDBg3UuXNnbdiwQU2aNFFkZKTGjRsnSXr++ec1YMAASdKHH34oT09PPffcc7LZbHriiSc0atSoX5RhxYoV6ty5sx588EFJ0oQJE7R48eLaV8Tsdrs2b96sgIAA7du3T0lJSdq3b59GjRqlQYMGyd/f/5KOs3XrVqfrKJ588knFxMRozJgxat++vZYuXarRo0dr1qxZ6tOnj9zd3S//XQEAAOM2btyo7OxsrV69WoWFhQoICFDv3r2dLiX66Z0XsrKydOrUKcclSRUVFcrPz1dxcbEaNGhwRRmysrL0zTffOE4AlZWVyc/P78rf1FV2SUXs66+/1t133y0vLy898sgj6tGjh4YPH65bbrlFCxcu1GOPPab169erS5cuP3usli1bOs37+fkpODhYwcHBSkhI0IgRIxQbG6vy8nJt2bLlyt4VAAAwKi0tTVlZWUpOTlazZs20detWjR8/Xvfee6++//57x3aZmZmOn1u2bKmbb75ZK1eulCRZlqXc3Fx5enpecY6WLVvq7rvv1pw5cyRJ5eXlKiysOd+6vqQ7648fP17Tp0/X4cOH9eSTTzqWf/755/r+++81efJkjR8//ooCJCYmasyYMZKkIUOGaP/+/UpISFB6ero6dOhwRccEAABmbdiwQa1bt1b37t0VHh6uoUOHOs5G7d27V0uWLNHBgwc1Y8YMxz4DBw7UkSNH9OWXX8rd3V0rV65Uv379ftGTdu6//35t3bpV+/fvlyTNnz+/Rt2j9JLOiO3Zs0d33XXXBdePHDlS8fHxVyVQSEiIQkKq92u4AADUFYUns2rka2zcuFG//vWvHfN+fn6KiYnRt99+q+XLl2vq1KkqKirSqFGj9MUXX0iSGjVqpLVr1+rRRx9VamqqOnTooLVr1/6ibyRHRkZqyZIlmjJlig4dOqTu3btrxYoVV3y8q+2S3lm/fv00efJkvfXWW2ratKnTuoKCAj377LPq1atXdeQDAABVCA4OVgMfH6Uve8Ulr9fAx0fBwcGXvH1V9xb97LPPHD8PHTrU8fPs2bMdP0dHR2v79u0XPG6vXr0ueOf8C63r16+f+vXrdwmpXe+SitjixYs1ZswYtWjRQpGRkWrWrJnjZqv79u1Thw4dlJSUVN1ZAQDA/wkLC9PePXtq/COOcHGXVMQCAgK0evVqZWRk6PPPP1dWVpZKS0vVqFEjde7cWT169KjunAAA4L+EhYVRjmq5y/rQNTw8XOHh4dUUBQAAoH65pG9NAgAA4OqjiAEAABhCEQMAADCEIgYAAGAIRQwAAMCQK79VLQAAMCozM7NG30fs7Nmzeuihh7Ru3Tq1bdtWCQkJKigo0JgxYy54U1ZJysjIUERExC96tFFtQREDAKAWyszMVLsbblBhUZFLXs/Xx0fpe/ZcVhkbO3asiouLtXPnTm3cuFF33323Fi9e/LP7hYWFKScn55fErSQ8PFyJiYk17klAFDEAAGqh7OxsFRYV6U+39tF1AUHV+lpHcs/ohW3/VnZ29iUXscOHD2vNmjXKysrStddeq+uvv15/+ctfVFFR8bP7urm5qVGjRr8wde1AEQNQ6+w9cVyFhYWmYzgcyD5pOgLqsesCgtS2cRPTMSr5/PPPFRkZqWuvvdax7JFHHtGOHTskSWvXrtWkSZOUl5en559/XpMnT3ZsV9VHk59++qnGjBmjv//971Xut2HDBj322GM6cuSIOnfurKVLl6pVq1bq16+f/vWvf0mSevfuLUmKj4/X008/LenH51OOGTNGZ86c0fz58/XKK6/o7rvvliR98MEHevrpp5WVlaVu3bpp2bJlCgkJ0YwZM7R9+3YVFhZq586d6t+/vxISEtSwYcPLHieKGIBaw263yyZpdspW01EqsUny8vIyHQOoMbKystSsWTOnZX/84x/16aef6i9/+YtmzZqljz76SJs3b1ZsbKzGjRsnHx+fix7z9OnTF9xv9OjRevLJJzV8+HDNnDlT06dP14oVK/T++++rtLRUUVFReu2113TrrbdWep3XX39djRs31qJFi9SlSxdJ0pkzZ3T//fdr0aJFuvPOO/Xoo4/qxRdf1IIFCyRJ69ev15IlS/SrX/1Ko0aN0nPPPaf58+df9jhRxADUGt7e3rIkPTh2rJo3b246jkNqaqrWJiWpof/l/98wUFeVlpbK3d29ynUFBQVasGCBOnbsqDZt2uixxx7TyZMndd111130mBfbz8fHR3a7XQEBAVq4cKHjI9BrrrlG0o8fd/r5+VX5kWdBQYE+++wzeXp6Opb5+/srMzNT/v7+SklJUUlJifbt2+dYf8stt2j06NGSpKeeekpPPPEERQxA/dCtWze1ub6N6RhO1iYlmY4A1CiNGjWqdMF9jx49NGrUKAUGBuqmm26S9J8zyZfyDcmL7bdixQo999xzio+P10033aR58+YpOjr6krJOmDDBqYSdP+7TTz+t1atXq3379goICFB5ebljfWhoqOPnkJAQnThx4pJe679xHzEAAHDVde7cWfv27VNeXp5j2eHDhxUWFnZF11JJuuB+586d07lz57Rx40adOXNGt912mx588EGnbdzc3C5Y9s6fNfup5cuXa8uWLTp27Ji++OILDR482Gn9T2+/kZmZ6XQt3OWgiAEAgKuuR48e6tChgx5++GEdOnRIL774okpLS6vltSoqKjRw4EAtW7ZM2dnZcnNzq/TtzNatW2v9+vU6fvy4Nm3a9LPHLCgokPTjtWLr1q3TzJkznYpccnKylixZov3792v27Nm69957ryg7H00CAFCLHck9UyNfw2azKSkpSePGjVOHDh3Uvn17rVu3TufOnbvq+fz9/bVs2TI999xzGjdunFq3bu24qP68OXPmaNSoUZo/f766deumO+6446LHHD16tJKSktSuXTvdeOONGj9+vBYsWKDi4mJJ0uDBg7V06VJNnjxZAwYM0J///Ocryk4RAwCgFgoODpavj49e2PZvl7yer4+PgoODL2ufkJAQffzxx5WW//dd9f/7I8Pw8PBKy3r16nXR/YYNG6Zhw4ZdMEtUVJR27dpVafmnn35a5fYNGzZ03PbivBkzZjh+DgoK0tq1ay/4epeKIgYAQC0UFham9D17avQjjvDzKGIAANRSYWFhlCMDfnpm7JfiYn0AAABDKGIAAACGUMQAAAAMoYgBAAAYQhEDAAAwhCIGAABgCLevAACglsrMzKzR9xE7duyYRo8erS+//FLdu3fX22+/rRYtWlRTwtqJIgYAQC2UmZmpdu3aqbCw0CWv5+vrq/T09MsqYyNHjlSrVq30xhtvKC4uTr///e+1bt26X5QjPDxciYmJ6tWr1y86Tk1BEQMAoBbKzs5WYWGhnpk2rdpv6pqZmam4+HhlZ2df8mulp6frf//3f/Xhhx/K399fzz33nMLDw5WXl6eGDRtWa97ahCIGAEAtFhYWpjbXtzEdo5Ivv/xSrVq1kr+/vySpZcuWeuqpp1RSUqKvvvpKjz76qPbs2aM77rhDb731lgICApSYmKjExESNHDlS06dPl2VZeu211zRs2DD169fP8ezH3r17S5Li4+P19NNPS5I+++wzTZ48WUeOHFH//v312muvqVGjRj+7zjQu1gcAAFfdDz/8oMaNGzvm3d3dNWvWLHl4eKh///4aOHCgdu/ercLCQk2dOtWx3Xfffaf3339f27Zt05gxYzRlyhRJ0vvvv6+cnByFhoYqKSlJOTk5euKJJyRJR48e1YABA/TII4/o66+/VkFBgcaMGfOz62oCzogBAICrrrS0VG5uP57vmTJlit58801J0tSpU+Xp6annnntONptNTzzxhEaNGuXYr6CgQEuWLFGzZs300EMP6eWXX5YkXXPNNZIkNzc3+fn5OZ3RWrZsmXr06KFx48ZJkhYuXKiQkBD98MMPF13XvHnzah+Hn8MZMQAAcNUFBATo7NmzkqRnn31WO3fuVEVFhby8vHTq1CkFBgaqUaNGuu+++3Tq1CkVFxdLktq1a6dmzZpJkry8vC7ptY4eParIyEjHfIsWLeTt7a2jR49edF1NwBkxAABw1XXq1El79+5Vfn6+GjduLF9fXxUUFKisrEw333yzVq5cKUmyLEu5ubny9PSUpJ+9kN/NzU2WZTktCwsL0+bNmx3zWVlZstvtCgsLu+i6moAzYgAA4Kq75ZZb1KZNG40fP14ZGRl64YUXZFmWBg4cqCNHjujLL7+Uu7u7Vq5cqX79+lUqVxfSunVrrV+/XsePH9emTZskSQ888IC++OILLVq0SIcPH9bEiRM1ZMgQNWvW7KLragLOiAEAUItlZmbWyNdwc3PTmjVrNHr0aN14443q27evQkNDJUlr167Vo48+qtTUVHXo0EFr166Vh8elVZI5c+Zo1KhRmj9/vrp166Y77rhDLVu21EcffaTHHntMsbGx6t+/vxYsWCBJF11XE1DEAACohYKDg+Xr66u4+HiXvJ6vr6+Cg4Mva5/IyEht27atynXbt2+vtGzMmDFO32gMDw+vdKYsKipKu3btqrRvz549tXPnzipf62LrTDNWxE6fPq29e/eqTZs2l/0fFgCA+i4sLEzp6ek1+hFH+HlGitjKlSs1ceJEhYeHa+/evXrzzTc1fPhwpaamauzYsTpw4IAeeughzZ49WzabzUREAABqvPMXo6P2cvnF+mfPntWkSZO0detW7dixQ6+//rqeeuop2e12DR48WF27dlVKSorS0tKUmJjo6ngAAAAu4/Iilp+fr3nz5qljx46SpJtuukk5OTlat26dcnNzNXfuXLVq1UpxcXFavHixq+MBAAC4jMs/mgwNDdXIkSMl/XjX3Tlz5ujee+/Vrl27FBMTI19fX0k/XoyXlpZ2wePY7XbZ7XbHfF5eXvUGBwAAuMqM3Uds165datasmTZs2KB58+YpLy9PERERjvU2m03u7u7Kycmpcv/4+HgFBAQ4pvNfiQUAAKgtjBWxqKgobdq0SR06dNDYsWPl4eEhb29vp20aNGigwsLCKvefNm2acnNzHVNNeVQBAADApTJWxGw2mzp37qzExEStWbNGQUFBOnXqlNM2+fn5F3zOlLe3txo2bOg0AQAA1CYuL2KbN29WbGysY/78nXRvuOEGJScnO5ZnZGTIbrcrKCjI1REBAABcwuVF7IYbbtDrr7+uhIQEHT16VE8//bTuuusuDRw4ULm5uVq6dKkkadasWerTp4/c3d1dHREAAMAlXF7EWrRooffee0/z5s1Thw4dVFhYqLffflseHh5KSEjQhAkT1KxZM61atUqzZs1ydTwAAACXMXJn/b59+1Z5a4ohQ4Zo//79SklJUY8ePdSkSRMD6QAAAFyjxj30OyQkRCEhIaZjAAAAVDtj35oEAACo7yhiAAAAhtS4jyYBAFffG2+8oRYtWpiO4aRr167q37+/6RiAURQxAKjDzpw5I0lasGCB4SSV2Ww2ZWRkKCwszHQUwBiKGADUYQUFBZKkfv36qcW11xpO8x/Z2dlam5Sk7OxsihjqNYoYANQDd/W5U506dTIdw2Hf/n1am5RkOgZgHBfrAwAAGEIRAwAAMIQiBgAAYAhFDAAAwBCKGAAAgCEUMQAAAEMoYgAAAIZQxAAAAAyhiAEAABhCEQMAADCEIgYAAGAIRQwAAMAQihgAAIAhFDEAAABDKGIAAACGUMQAAAAMoYgBAAAYQhEDAAAwhCIGAABgCEUMAADAEIoYAACAIRQxAAAAQyhiAAAAhlDEAAAADKGIAQAAGEIRAwAAMIQiBgAAYIiH6QC4fJmZmcrOzjYdw0l6errpCLVW7rEM0xEqKTp13HQEAKgXKGK1TGZmptrecIOKi4pMR6lSSWmp6Qi1RoWnlySbvk9aqu9Nh6mKzSa73W46BQDUaRSxWiY7O1vFRUVq98Ak+TYNMR3H4XT6DmWs+4fKyihil8rN5xpJloa26aAbm7YwHcfJ8YJcLdr5pby9vU1HAYA6jSJWS/k2DZF/aKTpGA6FJ7JMR6i1bmzaQndFtjEdw8ne06e0aOeXpmMAQJ3HxfoAAACGcEYM9UZNuyi+puUBALgeRQx1Xs2+KN4mb9lMhwAAGGKkiK1Zs0ZPPPGEMjMz1bVrVyUmJqpdu3ZKTU3V2LFjdeDAAT300EOaPXu2bDb+kcIvU1Mvit998nut3vedGnp6mY4CADDE5UXs4MGDGjt2rBYuXKiePXtq0qRJeuihh7R582YNHjxYffv21cqVKzV58mQlJiZq7Nixro6IOqomXhS/et93piMAAAxy+cX66enpiouL029+8xs1a9ZMEydOVEpKitatW6fc3FzNnTtXrVq1UlxcnBYvXuzqeAAAAC7j8jNigwYNcprfu3evWrdurV27dikmJka+vr6SpKioKKWlpV3wOHa73elmk3l5edUTGAAAoJoYvX1FSUmJ5syZoz/84Q/Ky8tTRESEY53NZpO7u7tycnKq3Dc+Pl4BAQGOKTQ01FWxAQAArgqjRWz69Ony8/PTww8/LA8Pj0p38W7QoIEKCwur3HfatGnKzc11TEePHnVFZAAAgKvG2O0rNm7cqIULFyo5OVmenp4KCgpSamqq0zb5+fny8qr6G2Xe3t48fgUAANRqRs6IHTp0SCNHjtSCBQvUvn17SVJ0dLSSk5Md22RkZMhutysoKMhERAAAgGrn8iJWVFSkQYMGaciQIbrnnntUUFCggoIC3XbbbcrNzdXSpUslSbNmzVKfPn3k7u7u6ogAAAAu4fKPJv/1r38pPT1d6enpWrRokWP54cOHlZCQoBEjRig2Nlbl5eXasmWLq+MBAAC4jMuL2JAhQ2RZVpXrwsPDtX//fqWkpKhHjx5q0qSJi9MBAAC4To171mRISIhCQkJMxwAAAKh2Rm9fAQAAUJ9RxAAAAAyhiAEAABhCEQMAADCEIgYAAGAIRQwAAMAQihgAAIAhFDEAAABDKGIAAACGUMQAAAAMoYgBAAAYQhEDAAAwhCIGAABgCEUMAADAEIoYAACAIRQxAAAAQyhiAAAAhniYDgCg5kpPTzcdwUlNy4Nf7o033lCLFi1Mx6ika9eu6t+/v+kYqAcoYgAqOV10TpJNDzzwgOkoVbDpzJkzpkPgFzr/33DBggWGk1TNZrMpIyNDYWFhpqOgjqOIAaikoKREkqXwYePUOKyV6TgOpzMPKmPVIhUUFJiOgl/o/H/Dfv36qcW11xpO4yw7O1trk5KUnZ1NEUO1o4gBuCCfJtfKPzTSdAyHwqJC0xFwld3V50516tTJdAwn+/bv09qkJNMxUE9wsT4AAIAhFDEAAABDKGIAAACGUMQAAAAMoYgBAAAYQhEDAAAwhCIGAABgCEUMAADAEIoYAACAIRQxAAAAQyhiAAAAhlDEAAAADKGIAQAAGEIRAwAAMIQiBgAAYAhFDAAAwBCKGAAAgCEepgMAqLlyj2WYjuCkpuUBgF/KWBE7ffq0br75Zn3yyScKDw+XJKWmpmrs2LE6cOCAHnroIc2ePVs2m81URKDeKq0ol2TT90lL9b3pMJXYVFZWZjoEAFwVRopYdna2Bg8erIyMDMcyu92uwYMHq2/fvlq5cqUmT56sxMREjR071kREoF7zdHOXZGl0u84KbxxsOo5DxulsLU3fIQ8PTuYDqBuM/DYbPny4hg8fruTkZMeydevWKTc3V3PnzpWvr6/i4uL0yCOPUMQAg6Kbh6hz6HWmYzjs8PTW0vQdpmMAwFVj5GL9hIQEPfbYY07Ldu3apZiYGPn6+kqSoqKilJaWZiIeAACASxg5IxYZGVlpWV5eniIiIhzzNptN7u7uysnJUWBgYKXt7Xa77Ha70/4AAAC1SY25fYWHh4e8vb2dljVo0ECFhYVVbh8fH6+AgADHFBoa6oqYAAAAV02NKWJBQUE6deqU07L8/Hx5eXlVuf20adOUm5vrmI4ePeqKmAAAAFdNjfnqUXR0tN544w3HfEZGhux2u4KCgqrc3tvbu9IZNAAAgNqkxpwRu/3225Wbm6ulS5dKkmbNmqU+ffrI3d3dcDIAAIDqUWPOiHl4eCghIUEjRoxQbGysysvLtWXLFtOxcJlq4p3Pa2ImAAAkw0XMsiyn+SFDhmj//v1KSUlRjx491KRJE0PJcLkqPL1Uc+/ELkk2eYunNAAAapYac0bsvJCQEIWEhJiOgcvk5nONJEtD23TQjU1bmI7jZPfJ77V633dq6Fn1Fz8AADClxhUx1G43Nm2huyLbmI5Ryep935mOAABAJTXmYn0AAID6hiIGAABgCEUMAADAEIoYAACAIRQxAAAAQyhiAAAAhlDEAAAADKGIAQAAGEIRAwAAMIQiBgAAYAhFDAAAwBCKGAAAgCEUMQAAAEMoYgAAAIZQxAAAAAyhiAEAABhCEQMAADCEIgYAAGAIRQwAAMAQihgAAIAhFDEAAABDKGIAAACGUMQAAAAMoYgBAAAYQhEDAAAwhCIGAABgCEUMAADAEA/TAWqqzMxMZWdnm45RSXp6uiTpdOZBFRYVGk7zH7nHMkxHAACg1qGIVSEzM1Ntb7hBxUVFpqNcgE0ZqxaZDlEFm7xlMx0CAIBagyJWhezsbBUXFandA5Pk2zTEdBwnpzMPKmPVIg1t00E3Nm1hOo7D7pPfa/W+79TQ08t0FAAAag2K2EX4Ng2Rf2ik6RhOzn8ceWPTFrorso3hNM5W7/vOdAQAAGoVLtYHAAAwhDNiAC7oQPZJ0xGc1LQ8APBLUcQAVOItm2yS5u/+0nSUSmySvLy4FhFA3UARA1BJQ08vWZLuHjxYHTt2NB3HITU1VWuTktTQv6HpKABwVVDEAFxQx44d1eeOPqZjOFmblGQ6AgBcNVysDwAAYAhFDAAAwBCKGAAAgCE1roilpqYqOjpagYGBio2NlWVZpiMBAABUixpVxOx2uwYPHqyuXbsqJSVFaWlpSkxMNB0LAACgWtSoIrZu3Trl5uZq7ty5atWqleLi4rR48WLTsQAAAKpFjSpiu3btUkxMjHx9fSVJUVFRSktLM5wKAACgetSo+4jl5eUpIiLCMW+z2eTu7q6cnBwFBgY6bWu322W32x3zubm5jmP8UgUFBZKkrLSd8vrh+C8+3tV07mSWJGnfyRPys9WcHr3v5AlJ0ncnjquorNRwGmc1NVtNzSVJh05nS5IyMzO169tdhtP8R2ZmpiTpwMGDsrnZDKf5j5qaS6q52WpqLkk6duyYpB//Lbga/6ZIkr+/v2y2mvU+UTPYrBp0NfxTTz2l0tJSzZ0717EsNDRUycnJCgkJcdp2xowZev75510dEQCAy5abm6uGDXkiBCqrUWfEgoKClJqa6rQsPz+/yufKTZs2TVOmTHHMV1RU6MyZM2rcuLHT/3Xk5eUpNDRUR48erdd/CRgHxkBiDCTGQGIMJNePgb+/f7W/BmqnGlXEoqOj9cYbbzjmMzIyZLfbFRQUVGlbb29veXt7Oy1r1KjRBY/dsGHDevsL56cYB8ZAYgwkxkBiDCTGAObVnIuMJN1+++3Kzc3V0qVLJUmzZs1Snz595O7ubjgZAADA1Vejzoh5eHgoISFBI0aMUGxsrMrLy7VlyxbTsQAAAKpFjSpikjRkyBDt379fKSkp6tGjh5o0afKLjuft7a0///nPlT7GrG8YB8ZAYgwkxkBiDCTGADVHjfrWJAAAQH1So64RAwAAqE8oYgAAAIZQxAAA9crp06f1xRdfKDs723QUoG4UsdOnTysiIkIZGRmSpMTERNlstkpTYmKiJCk1NVXR0dEKDAxUbGys6sJlcv89BpL09ttvKywsTH5+furTp4/TuvoyBm+99ZY6duyoRo0a6f7773f6xVsXx2DNmjWKjIyUh4eHunfvrvT0dEkXf691bRwuNAZS1X9GpPozBhcbm/oyBitXrlTr1q31yCOPKCwsTCtXrnTsU9fGALWEVcudOnXKiomJsSRZhw8ftizLsux2u5WTk+OYjh49agUHB1sHDx60iouLrfDwcGv8+PHWgQMHrAEDBlhvvvmm2TfxC1U1BgcOHLBCQ0Otr7/+2jpy5Ij14IMPWj179rQsy6o3Y7Bx40bLz8/P2rBhg5WRkWENGDDAuvXWWy3LqptjcODAASswMND6xz/+Yf3www/WfffdZ/Xo0eOi77WujcOFxsCyqv4zYln1ZwwuNjb1ZQxycnKs4OBga/fu3ZZlWdbSpUutsLAwy7Lq3hig9qj1ReyOO+6w5s2bV+mX60+99NJL1sMPP2xZlmWtXr3aCgwMtM6dO2dZlmXt3LnTuuWWW1wVt1pUNQbvvfeedd999zm22bp1q3XttddallV/xmDUqFHW448/7tjmu+++syRZ2dnZdXIMkpKSrAULFjjmN2/ebHl5eV30vda1cbjQGFjWhX9X1JcxuNjY1JcxyMzMtJYtW+ZYvmvXLsvf39+yrLo3Bqg9atx9xC5XQkKCIiMj9fjjj1e5vri4WPPnz9f27dslSbt27VJMTIx8fX0lSVFRUUpLS3NV3GpR1Ri0b99emzdv1o4dOxQZGalXX31Vd955p6T6MwbZ2dnq3LmzY/78Exo8PDzq5BgMGjTIaX7v3r1q3br1Rd9rXRuHC42BdOHfFfVlDC42NvVlDEJDQzVy5EhJUmlpqebMmaN7771XUt0bA9Qetf4ascjIyIuuX758uWJiYhQeHi7pxwe9RkREONbbbDa5u7srJyenOmNWq6rGoH379ho2bJi6dOmiRo0aafv27ZozZ46k+jMGnTp10tq1ax3Xebz11lvq1q2bAgIC6uQY/FRJSYnmzJmjP/zhDxd9r3V5HH46BtKFf1fUpzG40PL6Nga7du1Ss2bNtGHDBs2bN09S3R4D1Gy1voj9nIULF2rChAmOeQ8Pj0p3Um7QoIEKCwtdHa1aJScnKykpSdu3b1d+fr7uv/9+DRgwQJZl1ZsxePLJJ1VSUqKuXbuqR48e+stf/qJHH31UUt3/czB9+nT5+fnp4Ycfvuh7rcvj8NMxuJj6OAb/vby+jUFUVJQ2bdqkDh06aOzYsZLq9higZqvTRezAgQM6cOCA+vTp41gWFBSkU6dOOW2Xn58vLy8vV8erVv/4xz80fPhwdevWTX5+fnrxxRd16NAh7dq1q96MQVBQkD7//HO9++67ioqK0g033KARI0Y41tXVMdi4caMWLlyo5cuXy9PT86Lvta6Ow3+PwcXUtzGoanl9GwObzabOnTsrMTFRa9asUU5OTp0dA9R8dbqIvfvuuxo0aJDTX8Do6GglJyc75jMyMmS32xUUFGQiYrUpKyvTiRMnHPP5+fk6d+6cysvL680YnNeiRQt98MEHio+Pd1wnVlfH4NChQxo5cqQWLFig9u3bS7r4e62L41DVGFxMfRqDCy2vL2OwefNmxcbGOrbx8PjxMmk3N7c6OQaoJUx/W+BqURXfmrztttsqff24tLTUatKkibVkyRLLsixr/Pjx1qBBg1wVs1r9dAxWrFhh+fj4WHPnzrXeeecdq3fv3lZYWJhVUlJSb8bgvFmzZlm33Xab07K6OAaFhYVWu3btrHHjxln5+fmOqaSk5ILvta6Nw4XGoKKiwrHNf/8ZqS9jcLGxqS9jcOzYMcvf3996/fXXrczMTGv06NFW3759Lcuqe38OUHvU2SJWWFhoeXl5Wenp6ZW2Xb16teXj42M1bdrUaty4sZWamurCpNXnp2NQUVFhzZgxwwoLC7M8PT2tzp07WykpKY5t68MYWJZl5eTkWEFBQdaXX35Zadu6NgarV6+2JFWaDh8+fNH3WpfG4WJjcF5VZb0+jMHf/va3i45NfRiDw4cPW+vXr7fatWtn+fv7W8OGDbNOnjzptF9dGQPUHjbLqp+3Ds7KylJKSop69OihJk2amI5jBGNQv8bgYu+1Po3DhTAGjIHEGMD16m0RAwAAMK1OX6wPAABQk1HEAAAADKGIAQAAGEIRA3BB8+bNU15e3gXXv/rqq9q3b99Vfc2ysjLFxcWJy1cB1AcUMaAG+N3vfqekpCTHfEVFhfLy8vTqq69q5syZKigo0OnTp3X69OlK+77zzjvq1q2b07Ls7Gz16tXrFz20eMmSJVq/fr2uueYanT17VomJiVq1apX++c9/OqbZs2dr9uzZjvkVK1Zo8eLFSk9PdzrWT8tcbm6ubDabU7bU1FTHzx4eHjp8+LBeeOGFK84OALUFRQwwbPv27Vq+fLmmTZumzp07Ky8vT7m5uXrmmWe0Zs0abdy4Uc8//7yGDh3qVFjO8/b2dnoMS2Fhoe6++27ZbDa1bNnyijJlZ2frpZde0ooVK+Tu7u4ohqdPn1Z2drZjeu655xQTE+OYz8nJUUFBgcrLyx3Hstvt6tixo959911JUkBAgHx9fR2Zv/jiC0VFRWn79u2OfV577TV98MEHV/1sGwDUNB6mAwD1WX5+viZOnKhvvvlG/v7+euKJJ9SwYUNt375d0dHRKi0t1dmzZ/Xuu+9q5MiROnjwoNq1a6emTZtWebzzJczPz09r1qyRj4/PFeWaP3++HnnkEQUGBkr68VmEkydP1ubNm/XHP/7xgvs9+eSTGj58uNMyb29vPfXUU3r00UfVu3dvNWnSxPHYsZKSEk2aNElTpkxR9+7dHft4enrqhRdeUFxcnBITE6/oPQBAbUARAwxav369SkpKNHHiRJ04cUJlZWV66KGHNHPmTHl5eemjjz6SzWbTW2+9pRMnTujGG2+Un59flcc6ceKE7r77bjVt2lSrVq2St7f3Fef65z//qU2bNlVaXlZWptOnT2vRokWV1k2dOlW5ublVHm/ixIlatWqVvvnmG/Xt29ex/JtvvlGDBg304osvVtpnwIABmjJlisrKyhzPBASAuobfboBB9913nz766CONGTNGjz/+uD799FMNHjxYGzZs0Jw5c3Ty5EndeOONmjNnjvr166drrrlGvr6+Ki0tld1ul4eHh0pLS2VZlnx8fHTXXXfpj3/8oyzLUnFxsSTJsiyVlZXJ39//kjKdP3ZVZ92aNGmigQMH6p///Geldbfddpvatm3rtKykpEQeHh5yc3PTJ598UmmfmJgYff7555J+LHnl5eWOAunp6amIiAhlZmYqMjLykrIDQG1DEQNqgOXLl+vkyZOaN2+e3N3d1bhxYy1btkwPPPCApk+fLg8PD5WUlOjXv/61tm7dqq+//lr33XefvLy8VF5erpKSErVo0ULl5eWKi4tz+kiyrKxMrVq10nfffXdJWbKzsxUcHOy07IMPPlBcXNzP7pucnCxJio6O1oIFC9SvXz+lpKQ4rgcrLy/X2bNnJUnXX3+9goKCZLPZZFmWzp07p86dO+t///d/Hcdr0qSJTp48SREDUGdRxIAaICQkRN7e3oqMjNSnn36qQYMGSZJmzJihnTt3SpJsNpv+/ve/q2XLlmrZsqVKSkokSatWrdK8efO0bds2/fDDD2rTpo0OHz6sxo0bX1EWPz8/5efnOy3LyclRcHCwEhISdPDgQRUXFysvL085OTn64YcflJGRoVOnTmn16tVavny5li1bJknatGmTbDab4zizZs3S1q1btW3bNnXu3Fk9e/bU888/71hfUVHh9Lr5+fkX/CgWAOoCihhgmGVZ6tmzp1avXq27775bixcvliT17NnT6duHknTnnXdq8ODBFzxW8+bNNXDgQP3pT3/Sq6++ekV5/P39lZ+f73RtVv/+/RUdHa2DBw9q3bp1atasmY4fP64NGzZowYIF8vT0lGVZKioq0qhRozRixAhJciphe/bs0axZs7Ru3Tr1799fc+fO1X333acWLVpo/PjxkiQ3N+cvcmdkZCg0NPSK3gcA1AYUMcCw6667Tk8//bQaNGigfv36qWPHjpKkzMxMHT582LHdp59++rPfIMzPz1dcXJw6deqkHj16aOTIkVeUqUePHtqyZYvuuOMOSVKLFi3UvHlz9evXT7m5uaqoqFBBQYGys7M1b948BQYGKiAgQJMmTVJAQIDc3d2djrd7924NGjRI48eP169+9StJUsOGDbVu3Tr17NlTn332mV588UVFREQ49jl48KCCgoIUEBBwRe8BAGoD7iMGGPbCCy8oOTlZ27Zt0xtvvKHevXurvLxcBQUFuvnmmx3T+bNGF7JlyxZFRUVp27ZtSkxM1O9//3vNmjWr0lm1SzFhwgS99NJLTsvc3Nw0f/58vfvuu3rnnXc0ceJENW3aVP3799f111+v8vJyTZ8+XdnZ2Y59Dhw4oClTpig6OlpDhw5VfHy80zHbtGmjb775RgUFBWrVqpUmTJjgWDdz5kyneQCoizgjBhh06tQp/f73v9eBAwd0/PhxtW/fXp07d9awYcPUsGFDpaSkOLa90Bmx7Oxsx20hHnvsMQ0dOlR+fn5677339OCDD+rtt9/Wyy+/rAEDBlxyrttvv13NmzfXq6++qkceeUSSNHbsWKWkpMjPz08BAQEqKipSSUmJAgMD1alTJ7Vs2VJNmjTRmjVrtH//fsXGxqqoqEjbt2/Xxx9/rF//+teO4//08UXXXnut1qxZo88//9zxUWhSUpIOHjyo+++//3KHFABqFZvFA90AYyzL0pw5c9S7d2916tTJ6X5ZLVq0cPq2YG5urjp27KgVK1Y4HWPatGlavXq1Vq1a5fhY87yTJ09qxowZeuGFFyp9E/Ln5Ofnq2/fvvrwww8VFBRUaX16erpuvfVWtW7d2nGD1vLych06dEjTpk3T448/fsFje3t765tvvlGHDh0qrSsrK9Ntt92mVatWKSQk5LIyA0BtQxEDarnS0lKdO3dOjRo1uurHLi8vr3S9lyuYel0AcDWKGAAAgCFcrA8AAGAIRQwAAMAQihgAAIAhFDEAAABDKGIAAACGUMQAAAAMoYgBAAAYQhEDAAAwhCIGAABgCEUMAADAkP8P9BKjC9sWlsQAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 612.875x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(\n",
    "    penguins,\n",
    "    x=\"鳍长 (毫米)\",\n",
    "    kind='hist',\n",
    "    hue=\"企鹅的种类\",  # hue指定分组\n",
    "    palette=['#006a8e',\"#b1283a\",\"#a8a6a7\"],\n",
    "    multiple='stack' # 指定按照layer叠加，multiple=\"stack\"\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0878c685-38ad-4fb9-a8ac-f2b9abb1c5e5",
   "metadata": {},
   "source": [
    "分组直方图-分组"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "f91407c8-a0ce-4581-8683-505a3f464843",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 612.875x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(\n",
    "    penguins,\n",
    "    x=\"鳍长 (毫米)\",\n",
    "    kind='hist',\n",
    "    hue=\"企鹅的种类\",  # hue指定分组\n",
    "    palette=['#006a8e',\"#b1283a\",\"#a8a6a7\"],\n",
    "    multiple='fill' # 分组\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33b0024d-55c2-44c1-851d-7313816ad0ad",
   "metadata": {},
   "source": [
    "直方图-按行列分面多子图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "f07aeab3-ebe8-4a1c-a3a3-8380a13942c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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NYtalvrkqq+p/bxk6dGgeffTRJssmTZqU/fbbLwMGDEiSfOYzn8k111yTRYsWJUkWLlzYpN+WlZWlb9++Sd4M3t5+vvLyck/igw8owQrrlR49euSUU05Jhw4dUllZmc033zxHHXVUOnTokKeffro0Ydj8+fNL98YOHz48V155Zbbddtv069cv8+fPzyabbJKuXbs2+5XoqaeeWuu/lqzKbrvtluuvvz5nnXVW5s+fn89//vMZP378e+73yU9+MmeccUb22GOP1NbWplevXpkwYUK+8pWvZNSoUXnxxRfz6U9/OnV1dTn00EPzve997z2PedZZZ+WEE07InnvumcbGxnz+85/PZz/72STJj3/843zjG9/ILrvsksrKypxxxhlt+uWwoaEhDQ0NSd78glNWVrbSSfiWLFmSioqKNDY2Zty4cfnhD3+Y2267LR07dswNN9yQO++8s/TL6RtvvJH77rsvd955Z/r167fWP8NOO+1UGk78lsmTJzeZvLBLly4ZPnx4Jk2alO233z7Tp09vVts//vGPJG8+tvmdvzzPnTu32ZM8gA2fvtmcvrn+981VWVX/e8tOO+3U5EeMhoaG3HvvvbniiitKyz7+8Y+nrKys9PSma6+9Ntdee21pfWVlZWl0zhVXXNFk36233jrPPPPMmv1QwHqhrNHzO9lAzJgxI3/9618zc+bMXHfddbnnnntaNNFn8uav//vuu2+efPLJnH322TnzzDPXcrVrztFHH52tttoqo0ePTllZWW644YbcdNNNmTp1aluXttoGDBiQiRMnZsSIES3e59FHH80nP/nJVFdX54ILLsjVV1/d7B7nxsbGLFmyJP/7v/+b4cOH59Of/nQuuuii0n3tJ598chYtWpTvfve7GThwYBoaGjJ06NBsscUWufDCC5s8AhlgQ6Fv6pv6JsCaIVhhg/Lggw/mtttuy7777pv99ttvtfa9//7706dPn2y77bZrqbq1449//GPOOuusPP3000neHOY6YcKE1fqSta4o8gURgOL0TX0TgPdPsAIAAABQkMctAwAAABQkWAEAAAAoSLACAAAAUJBgBQAAAKCgDSZYaWxsTF1dXczFCwDvj54KANByG0ywsmDBgnTv3j0LFixo61IAYL2mpwIAtNwGE6wAAAAAtDbBCgAAAEBBghUAAACAggQrAAAAAAUJVgAAAAAKEqwAAAAAFCRYAQAAAChIsAIAAABQkGAFAAAAoCDBCgAAAEBBghUAAACAggQrAAAAAAUJVgAAAAAKEqwAAAAAFCRYAQAAAChIsAIAAABQkGAFAAAAoCDBCgAAAEBBghUAAACAggQrAAAAAAUJVgAAAAAKEqwAAAAAFCRYAQAAAChIsAIAAABQkGAFAAAAoCDBCgAAAEBBghUAAACAggQrAAAAAAUJVgAAAAAKEqwAAAAAFCRYAQAAAChIsAIAAABQkGAFAAAAoCDBCgAAAEBBghUAAACAggQrAAAAAAUJVgAAAAAKEqwAAAAAFCRYAQAAAChIsAIAAABQkGAFAAAAoKA2C1bmz5+fBx54INXV1W1VAgAAAMD70ibBys0335zBgwfn5JNPTv/+/XPzzTcnSaZNm5Zhw4alZ8+eGTNmTBobG9uiPAAAAIAWafVg5fXXX8/o0aPz17/+NY8++miuvPLKnHXWWamvr8/BBx+cXXfdNVOmTMn06dMzceLE1i4PAAAAoMVaPVhZsGBBLrnkkuy4445Jkp122ik1NTW56667Ultbm4svvjhbb711xo0bl2uvvba1ywMAAABosbLGNrzfZtmyZTn++OPTrl27DBw4MA899FDuvPPOJEljY2M23njj/Pvf/27Rserq6tK9e/fU1tamW7dua7NsANig6akAAC1X0VYnfuyxx7LPPvukQ4cOmTFjRr7//e9n4MCBpfVlZWUpLy9PTU1Nevbs2Wz/+vr61NfXl97X1dW1St0AsKHRUwEAimuzpwINHTo0d999d4YMGZLjjjsuFRUVqaysbLJNx44ds2jRopXuP378+HTv3r306tevX2uUDQAbHD0VAKC4Nr0VKEnmzp2brbbaKuPHj8+0adPy85//vLSuR48eefrpp7PJJps0229lv67169fPsGUAWE16KgBAca0+YuWee+7JmDFjSu8rKt68G2m77bbLgw8+WFo+e/bs1NfXp1evXis9TmVlZbp169bkBQCsPj0VAKC4Vg9Wtttuu1x55ZW56qqrMnfu3Jx99tnZf//98+lPfzq1tbW54YYbkiQTJkzIfvvtl/Ly8tYuEQAAAKBFWj1Y2WKLLfLrX/86l1xySYYMGZJFixbl5z//eSoqKnLVVVfla1/7WjbbbLP85je/yYQJE1q7PAAAAIAWa/M5Vt5p3rx5mTJlSvbYY4+Vzq2yKh4NCQBrhp4KANBybfa45VXp27dv+vbt29ZlAAAAALynNnvcMgAAAMD6TrACAAAAUJBgBQAAAKAgwQoAAABAQYIVAAAAgIIEKwAAAAAFCVYAAAAAChKsAAAAABQkWAEAAAAoSLACAAAAUJBgBQAAAKAgwQoAAABAQYIVAAAAgIIEKwAAAAAFCVYAAAAAChKsAAAAABQkWAEAAAAoSLACAAAAUJBgBQAAAKAgwQoAAABAQYIVAAAAgIIEKwAAAAAFCVYAAAAAChKsAAAAABQkWAEAAAAoSLACAAAAUJBgBQAAAKAgwQoAAABAQYIVAAAAgIIEKwAAAAAFCVYAAAAAChKsAAAAABQkWAEAAAAoSLACAAAAUJBgBQAAAKAgwQoAAABAQYIVAAAAgIIEKwAAAAAFCVYAAAAAChKsAAAAABQkWAEAAAAoSLACAAAAUJBgBQAAAKAgwQoAAABAQYIVAAAAgIIEKwAAAAAFCVYAAAAAChKsAAAAABQkWAEAAAAoSLACAAAAUJBgBQAAAKAgwQoAAABAQYIVAAAAgILaJFi59dZbM2jQoFRUVGT33XdPVVVVkmT06NEpKysrvQYPHtwW5QEAAAC0SKsHK7Nmzcpxxx2XCRMmZN68edlqq63yla98JUkyderU3HHHHampqUlNTU0effTR1i4PAAAAoMXKGhsbG1vzhH/4wx/ywgsv5Gtf+1qS5N57783IkSPzxhtvpFevXnnxxRfTpUuX1T5uXV1dunfvntra2nTr1m1Nlw0AHxh6KgBAy7X6iJWDDjqoFKokyVNPPZXBgwfn8ccfT2NjY3beeed06tQpI0eOzJw5c1q7PAAAAIAWa9PJa5cuXZqLLrooX//611NVVZUhQ4bkpptuyvTp09O+ffuceOKJq9y3vr4+dXV1TV4AwOrTUwEAimv1W4He7swzz8ykSZPy8MMPp3379k3WPf/88xk0aFBqampWOgx57NixueCCC5otN2wZAFaPngoAUFybBSuTJ0/Of/7nf+bBBx/MDjvs0Gx9bW1tevTokRkzZmTbbbdttr6+vj719fWl93V1denXr58vgQCwmvRUAIDiKtripM8++2xGjRqVyy+/vBSqnH766Rk+fHiOOOKIJMnDDz+cdu3apV+/fis9RmVlZSorK1utZgDYUOmpAADFtXqwsnjx4hx00EE59NBDc8ghh2ThwoVJkp122innnHNO+vTpk4aGhowePTrHHntsOnfu3NolAgAAALRIqwcrf/rTn1JVVZWqqqpcffXVpeXPPfdcZsyYkUMOOSRdu3bNYYcdlnHjxrV2eQAAAAAt1qaT165JdXV16d69u/vBAeB90lMBAFquTR+3DAAAALA+E6wAAAAAFCRYAQAAAChIsAIAAABQkGAFAAAAoCDBCgAAAEBBghUAAACAggQrAAAAAAUJVgAAAAAKEqwAAAAAFCRYAQAAAChIsAIAAABQkGAFAAAAoCDBCgAAAEBBghUAAACAggQrAAAAAAUJVgAAAAAKEqwAAAAAFCRYAQAAAChIsAIAAABQkGAFAAAAoCDBCgAAAEBBghUAAACAggQrAAAAAAUJVgAAAAAKEqwAAAAAFCRYAQAAAChIsAIAAABQkGAFAAAAoCDBCgAAAEBBghUAAACAggQrAAAAAAUJVgAAAAAKEqwAAAAAFCRYAQAAAChIsAIAAABQkGAFAAAAoCDBCgAAAEBBghUAAACAggQrAAAAAAUJVgAAAAAKEqwAAAAAFCRYAQAAAChIsAIAAABQkGAFAAAAoCDBCgAAAEBBghUAAACAggQrAAAAAAUJVgAAAAAKEqwAAAAAFCRYAQAAAChIsAIAAABQkGAFAAAAoCDBCgAAAEBBghUAAACAgtokWLn11lszaNCgVFRUZPfdd09VVVWSZNq0aRk2bFh69uyZMWPGpLGxsS3KAwAAAGiRVg9WZs2aleOOOy4TJkzIvHnzstVWW+UrX/lK6uvrc/DBB2fXXXfNlClTMn369EycOLG1ywMAAABosVYPVqqqqjJu3LgcccQR2WyzzXLSSSdlypQpueuuu1JbW5uLL744W2+9dcaNG5drr722tcsDAAAAaLGK1j7hQQcd1OT9U089lcGDB+exxx7L8OHD07lz5yTJ0KFDM3369NYuDwAAAKDFWj1YebulS5fmoosuymmnnZZnn302AwcOLK0rKytLeXl5ampq0rNnz2b71tfXp76+vvS+rq6uVWoGgA2NngoAUFybPhXo3HPPTZcuXXLCCSekoqIilZWVTdZ37NgxixYtWum+48ePT/fu3Uuvfv36tUbJALDB0VMBAIprs2Bl8uTJueKKK/LLX/4y7du3T69evfLaa6812WbBggXp0KHDSvf/9re/ndra2tJr7ty5rVE2AGxw9FQAgOLa5FagZ599NqNGjcrll1+eHXbYIUkybNiwXHPNNaVtZs+enfr6+vTq1Wulx6isrGw2wgUAWH16KgBAca0+YmXx4sU56KCDcuihh+aQQw7JwoULs3DhwnzsYx9LbW1tbrjhhiTJhAkTst9++6W8vLy1SwQAAABokbLGxsbG1jzh73//+xx22GHNlj/33HP517/+laOOOipdu3bN8uXLc//992fIkCEtOm5dXV26d++e2tradOvWbU2XDQAfGHoqAEDLtXqw8l7mzZuXKVOmZI899sgmm2zS4v18CQSANUNPBQBouTZ93PLK9O3bN3379m3rMgAAAADeU5s+bhkAAABgfSZYAQAAAChIsAIAAABQkGAFAAAAoCDBCgAAAEBBghUAAACAggQrAAAAAAUJVgAAAAAKEqwAAAAAFCRYAQAAAChIsAIAAABQkGAFAAAAoCDBCgAAAEBBghUAAACAggQrAAAAAAUJVgAAAAAKEqwAAAAAFCRYAQAAAChIsAIAAABQ0BoJVhobG7N8+fI1cSgAAACA9cZqBytf//rXU19f32TZPffckx122GGNFQUAAACwPljtYOXKK69sFqwMGTIkc+bMWWNFAQAAAKwPKlq64Q033JDkzdt+fvnLX6Zz586l93/+85+z2267rZ0KAQAAANZRLQ5WrrvuuiRJWVlZbrzxxlRUvLlru3btMnjw4Nx0001rp0IAAACAdVRZY2Nj4+rs0K5du7z++uvp1q3b2qqpkLq6unTv3j21tbXrXG0AsD7RUwEAWm6151g58cQTU1lZuTZqAQAAAFivtPhWoLdcfvnlqa+vz9y5c/POwS79+/dfY4UBAAAArOtWO1j5yU9+kjFjxmTp0qVNgpWysrIsX758jRYHAAAAsC5b7VuBvvvd7+bCCy/MkiVLsmLFitJLqAIAAAB80Kx2sNKtW7d84hOfSPv27ddGPQAAAADrjdUOVi677LKccMIJmTZt2tqoBwAAAGC9sdpzrJx66qmZP39+dtppp/Ts2bPJYxifffbZNVocAAAAwLpstYOViRMnroUyAAAAANY/qx2sDBw4cG3UAQAAALDeWe1gZcCAASkrKys9armsrKy0zpOBAAAAgA+S1Z689q1HK69YsSJvvPFG7r333owYMSJ333332qgPAAAAYJ1V1vjW0JP34Y033sjHP/7xTJ06dU3UVEhdXV26d++e2traJhPqAgCrR08FAGi51R6xsjKvvvpqXnrppTVxKAAAAID1RqHJa985r8pLL72Ub37zm2uyLgAAAIB13vt+3HJZWVm23HLLDBo0aE3VBAAAALBeWO1bgfbee+/svffe6dSpU6qrq9OpUyehCgAAAPCBtNojVubNm5dDDjkkTz/9dLbYYou8+OKL2WabbXLrrbdmiy22WBs1AgAAAKyTVnvEyoknnpjddtstr732WqqqqvLKK69kl112yVe/+tW1UR8AAADAOmu1R6z87W9/yxNPPJEOHTokSTp27JhzzjknQ4cOXePFAQAAAKzLVnvEyoc//OFcf/31TZZdf/312XHHHddYUQAAAADrg9UesXLFFVdk//33z4033piBAwfm2WefzYIFCzJp0qS1UR8AAADAOqvFwUp9fX3uueeedO/ePTNnzsztt9+emTNn5uijj85BBx2Url27rs06AQAAANY5LboVaOrUqRk0aFC+/vWv54EHHshGG22UI488Mn/6059yxhlnZOutt84jjzyytmsFAAAAWKeUNTY2Nr7XRrvttluOP/74nHTSSStd/4Mf/CC33nprHn744TVeYEvV1dWle/fuqa2tTbdu3dqsDgBY3+mpAAAt16IRKzNmzMj++++/yvWjRo3K9OnT11hRAAAAAOuDFgUrI0eOzKmnnppXX3212bqFCxfmnHPOyYgRI9Z0bQAAAADrtBZNXnvttdfm2GOPzRZbbJFBgwZls802S3l5eWpqajJz5swMGTIkt99++9quFQAAAGCd0qJgpXv37vnd736X2bNn5+9//3vmzZuXZcuWpUePHvnIRz6SPfbYY23XCQAAALDOafHjlpNkwIABGTBgwBo58fz587Pbbrvl3nvvLR1z9OjR+clPflLaZuutt84zzzyzRs4HAAAAsKatVrCyplRXV+fggw/O7NmzmyyfOnVq7rjjjtIImPLy8jaoDgAAAKBlWjR57Zp25JFH5sgjj2yyrKGhIdOmTcvHP/7x9OjRIz169EjXrl3bojwAAACAFmmTYOWqq67KN77xjSbLHn/88TQ2NmbnnXdOp06dMnLkyMyZM6ctygMAAABokTYJVgYNGtRsWVVVVYYMGZKbbrop06dPT/v27XPiiSeu8hj19fWpq6tr8gIAVp+eCgBQXFljY2Njm528rCzPPffcSifEff755zNo0KDU1NSkW7duzdaPHTs2F1xwQbPltbW1K90eAFg5PRUAoLh1Nlipra1Njx49MmPGjGy77bbN1tfX16e+vr70vq6uLv369fMlEABWk54KAFBcmzwVaGVOP/30DB8+PEcccUSS5OGHH067du3Sr1+/lW5fWVmZysrK1iwRADZIeioAQHHrTLCy884755xzzkmfPn3S0NCQ0aNH59hjj03nzp3bujQAAACAlVpngpVjjjkmVVVVOeSQQ9K1a9ccdthhGTduXFuXBQAAALBKbTrHyppUV1eX7t27ux8cAN4nPRUAoOXa5HHLAAAAABsCwQoAAABAQYIVAAAAgIIEKwAAAAAFCVYAAAAAChKsAAAAABQkWAEAAAAoSLACAAAAUJBgBQAAAKAgwQoAAABAQYIVAAAAgIIEKwAAAAAFCVYAAAAAChKsAAAAABQkWAEAAAAoSLACAAAAUJBgBQAAAKAgwQoAAABAQYIVAAAAgIIEKwAAAAAFCVYAAAAAChKsAAAAABQkWAEAAAAoSLACAAAAUJBgBQAAAKAgwQoAAABAQYIVAAAAgIIEKwAAAAAFCVYAAAAAChKsAAAAABQkWAEAAAAoSLACAAAAUJBgBQAAAKAgwQoAAABAQYIVAAAAgIIEKwAAAAAFCVYAAAAAChKsAAAAABQkWAEAAAAoSLACAAAAUJBgBQAAAKAgwQoAAABAQYIVAAAAgIIEKwAAAAAFCVYAAAAAChKsAAAAABQkWAEAAAAoSLACAAAAUJBgBQAAAKAgwQoAAABAQYIVAAAAgIIEKwAAAAAFCVYAAAAAChKsAAAAABQkWAEAAAAoqM2Clfnz52fgwIGZPXt2adm0adMybNiw9OzZM2PGjEljY2NblQcAAADwntokWKmurs5BBx3UJFSpr6/PwQcfnF133TVTpkzJ9OnTM3HixLYoDwAAAKBF2iRYOfLII3PkkUc2WXbXXXeltrY2F198cbbeeuuMGzcu1157bVuUBwAAANAibRKsXHXVVfnGN77RZNljjz2W4cOHp3PnzkmSoUOHZvr06W1RHgAAAECLVLTFSQcNGtRsWV1dXQYOHFh6X1ZWlvLy8tTU1KRnz57Ntq+vr099fX2T/QGA1aenrj/mzJmT6urqti7jXdXX16eysrKty3hXvXv3Tv/+/du6DAA2EG0SrKxMRUVFsybcsWPHLFq0aKXByvjx43PBBRe0VnkAsMHSU9cPc+bMybbbbZclixe3dSnvrqwsWccfQNCxU6c8NWOGcAWANWKdCVZ69eqVadOmNVm2YMGCdOjQYaXbf/vb387pp59eel9XV5d+/fqt1RoBYEOkp64fqqurs2Tx4mz/xdHpvGnfti5npeZXPZrZd/1fBhz+1Wzcf+u2LmelFr06L1W/uCzV1dWCFQDWiHUmWBk2bFiuueaa0vvZs2envr4+vXr1Wun2lZWV6/wwUwBYH+ip65fOm/ZN137Nb6teFyx6ZV6SpNMmm6+zNQLAmtYmk9euzMc//vHU1tbmhhtuSJJMmDAh++23X8rLy9u4MgAAAICVW2dGrFRUVOSqq67KUUcdlTFjxmT58uW5//7727osAAAAgFVq02Cl8R0Tmx166KF5+umnM2XKlOyxxx7ZZJNN2qgyAAAAgPe2zoxYeUvfvn3Tt++6OSEbAAAAwNutM3OsAAAAAKxvBCsAAAAABQlWAAAAAAoSrAAAAAAUJFgBAAAAKGideyoQtIU5c+akurq6rct4V/X19amsrGzrMt5V7969079//7YuAwAAoNUIVvjAmzNnTrbdbrssWby4rUt5d2VlSWNjW1fxrjp26pSnZswQrgAAAB8YghU+8Kqrq7Nk8eJs/8XR6bxp37YuZ6XmVz2a2Xf9XwYc/tVs3H/rti5npRa9Oi9Vv7gs1dXVghUAAOADQ7AC/0/nTfuma79BbV3GSi16ZV6SpNMmm6+zNQIAAHwQmbwWAAAAoCDBCgAAAEBBghUAAACAggQrAAAAAAUJVgAAAAAKEqwAAAAAFCRYAQAAAChIsAIAAABQkGAFAAAAoCDBCgAAAEBBghUAAACAggQrAAAAAAUJVgAAAAAKEqwAAAAAFCRYAQAAAChIsAIAAABQkGAFAAAAoCDBCgAAAEBBghUAAACAggQrAAAAAAUJVgAAAAAKEqwAAAAAFCRYAQAAAChIsAIAAABQkGAFAAAAoCDBCgAAAEBBghUAAACAggQrAAAAAAUJVgAAAAAKEqwAAAAAFCRYAQAAAChIsAIAAABQkGAFAAAAoCDBCgAAAEBBghUAAACAggQrAAAAAAUJVgAAAAAKEqwAAAAAFCRYAQAAAChIsAIAAABQkGAFAAAAoCDBCgAAAEBBghUAAACAggQrAAAAAAWtc8HK6NGjU1ZWVnoNHjy4rUsCAAAAWKmKti7gnaZOnZo77rgje+yxR5KkvLy8jSsCAAAAWLl1KlhpaGjItGnT8vGPfzxdunRp63IAAAAA3tU6dSvQ448/nsbGxuy8887p1KlTRo4cmTlz5rR1WQAAAAArtU4FK1VVVRkyZEhuuummTJ8+Pe3bt8+JJ5640m3r6+tTV1fX5AUArD49FQCguHUqWBk1alQefPDBDBs2LAMHDsxPfvKTTJo0aaVf8MaPH5/u3buXXv369WuDigFg/aenAgAUt04FK+/Uo0ePrFixIi+99FKzdd/+9rdTW1tbes2dO7cNKgSA9Z+eCgBQ3Do1ee3pp5+e4cOH54gjjkiSPPzww2nXrt1KfzmrrKxMZWVla5cIABscPRUAoLh1KljZeeedc84556RPnz5paGjI6NGjc+yxx6Zz585tXRoAAABAM+tUsHLMMcekqqoqhxxySLp27ZrDDjss48aNa+uyAAAAAFZqnQpWkjcn0Bs/fnxblwEAAADwntbpyWsBAAAA1mWCFQAAAICCBCsAAAAABQlWAAAAAAoSrAAAAAAUJFgBAAAAKEiwAgAAAFCQYAUAAACgIMEKAAAAQEGCFQAAAICCBCsAAAAABQlWAAAAAAoSrAAAAAAUJFgBAAAAKEiwAgAAAFCQYAUAAACgIMEKAAAAQEGCFQAAAICCBCsAAAAABQlWAAAAAAoSrAAAAAAUJFgBAAAAKEiwAgAAAFCQYAUAAACgIMEKAAAAQEGCFQAAAICCBCsAAAAABQlWAAAAAAoSrAAAAAAUJFgBAAAAKEiwAgAAAFCQYAUAAACgIMEKAAAAQEEVbV0AG745c+akurq6rctYpaqqqrYuAYB1gH4FABQhWGGtmjNnTrbdbrssWby4rUt5T0uXLWvrEgBoI/oVAFCUYIW1qrq6OksWL872Xxydzpv2betyVmp+1aOZfdf/paHBF1WADyr9CgAoSrBCq+i8ad907TeorctYqUWvzGvrEgBYR+hXAMDqMnktAAAAQEGCFQAAAICCBCsAAAAABQlWAAAAAAoSrAAAAAAUJFgBAAAAKEiwAgAAAFCQYAUAAACgIMEKAAAAQEEVbV0A78+cOXNSXV3d1mWsUlVVVVuXQCtb1//O6+vrU1lZ2dZlrFLv3r3Tv3//ti4D1jj9inXNuvx3rhcArF8EK+uxOXPmZNvttsuSxYvbupT3tHTZsrYugbVsad3rScryxS9+sa1LeXdlZUljY1tXsUodO3XKUzNm+ELNBkW/Yl2yPvQrvQBg/SJYWY9VV1dnyeLF2f6Lo9N5075tXc5Kza96NLPv+r80NPiiuqFrWPxGksYMOPyr2bj/1m1dzkq99e9xXa1x0avzUvWLy1JdXe3LNBsU/Yp1ybrer/QCgPWPYGUD0HnTvunab1Bbl7FSi16Z19Yl0Mo6bbL5Ov/vcV2uETZk+hXrEr0AgDXF5LUAAAAABQlWAAAAAAoSrAAAAAAUJFgBAAAAKEiwAgAAAFDQOhesTJs2LcOGDUvPnj0zZsyYNDY2tnVJAAAAACu1TgUr9fX1Ofjgg7PrrrtmypQpmT59eiZOnNjWZQEAAACs1DoVrNx1112pra3NxRdfnK233jrjxo3Ltdde29ZlAQAAAKzUOhWsPPbYYxk+fHg6d+6cJBk6dGimT5/exlUBAAAArFxFWxfwdnV1dRk4cGDpfVlZWcrLy1NTU5OePXs22ba+vj719fWl97W1taVjrEkvv/xyXn755TV6zDXlqaeeSpIseOG5LK9f0sbVrNwbr8x7839ffD6vt1uncrwSNa4Zanz/Fr32UpJk6tSpWbhwYRtXs2rt2rXLihUr2rqMd7U+1NinT5/06dNnjR6za9euKSsrW+391nZPfevfs371/qhxzVjXa9QL1hw1rhnreo1ro58mxXsqH0xljevQ7LBnnXVWli1blosvvri0rF+/fnnwwQfTt2/fJtuOHTs2F1xwQWuXCADrrNra2nTr1m2199NTAaCpoj2VD6Z1Klj54Q9/mGnTpuXnP/95aVmPHj3y9NNPZ5NNNmmy7Tt/XVuxYkX+/e9/Z+ONN26WLNbV1aVfv36ZO3eu/+P4f1yT5lyT5lyT5lyTlXNdmmuLa7KmRqzoqavHNWnONWnONWnONWnONVm59amn8sG0Tt0KNGzYsFxzzTWl97Nnz059fX169erVbNvKyspUVlY2WdajR493PX63bt38P6h3cE2ac02ac02ac01WznVpbn24JnrqmuGaNOeaNOeaNOeaNOearJzrwrpqnbqx9OMf/3hqa2tzww03JEkmTJiQ/fbbL+Xl5W1cGQAAAEBz69SIlYqKilx11VU56qijMmbMmCxfvjz3339/W5cFAAAAsFLrVLCSJIceemiefvrpTJkyJXvssUezuVWKqKyszPnnn99smPMHmWvSnGvSnGvSnGuycq5LcxvqNdlQP9f74Zo055o055o055o055qsnOvCum6dmrwWAAAAYH2yTs2xAgAAALA+EawAAAAAFCRYAQAAAChIsAIAAABQkGAFAAAAoCDBCgAAAEBBghUAAACAggQrAAAAAAUJVgAAAAAKEqwAAAAAFCRYAQAAAChIsAIAAABQkGAFAAAAoCDBCgAAAEBBghUAAACAggQrwFo3YsSITJw4sa3LAID1gr4JsH4RrPCB8eSTT+af//xn4f2XLVuWFStWrMGKeDcrVqzICy+8kMbGxrYuBeADSd9cv+ibAG1HsMIHxuWXX55bbrmlRdv+7W9/y4c//OEmy773ve/lzDPPXBulsRK1tbXp169fFi1a1Gzd4MGDc9999zVbvnTp0pSVlaWioqL0Kisry5133tlku9tuuy177rnn2iodYIOgb65f9E2AtiNYYYP2u9/9LoMGDcqOO+6YX//61/ntb3+bHXfcsfQaMGBA7r777mb7derUKR07dmyybP78+enbt29rlZ5jjz02ZWVlKSsrS7du3XLooYfm1VdfbbLN2LFjc+yxx7ZaTa2psrIySUp/D7fffnuOPPLIJG/+/XTo0KHZPhUVFUmShQsXpqGhIQ0NDdlzzz3Tvn37JEmfPn1SVVWVDh06lJatDRMnTkxZWVl+8pOfJEnuvPPOlJWVZezYsaVtnn322ZSVleWBBx4oLbvvvvvSo0ePlR7zvvvuK/17eOvVpUuXtfYZgA8mfXP9tT73zZX1uLKyslxzzTXv2v/e+jufNm1akuTMM89MWVlZkxDp2muvTZcuXbJ06dLSsrFjx+bQQw9daS1jx45tdr6DDjporX12YMMgWGGDtnz58nz0ox/NtGnT8oMf/CBTp07NtGnTSq8OHTqkV69epe2XLFmSBQsWpLy8POXl5VmxYkWqq6uTJNXV1bngggvSp0+f9OnTJ717984222yzVuv/2te+lpqamjz55JNZvnx5vvWtbzVZf/bZZ+enP/3pWq2hLSxZsiTt2r35/55uueWW1NTU5PHHH0/v3r2TJOXl5aX19fX1pf3KyspWery3ljc2Njb74r82Pfnkk03+9+3+9Kc/JUkmT57c4uN169YtNTU1pde8efPWTKEA/4++uX7aEPrmO3tcTU1NjjnmmJWue2f/e7d+O2nSpLzxxhv5xz/+0eJaDjzwwCbn+7//+7/38cmADwLBChu0t75EJMk999yTz33uc6X7vRsbG/PSSy9lq622Km1z44035vjjjy+9f/HFF7PZZpslSV599dX8+c9/zssvv5yXX3451dXVmTFjxnvW0Lt37/To0aPZ61//+td77ltZWZkePXqkX79++cIXvpApU6Y0Wd+xY8d07tz5PY+zvjnjjDNy+eWXJ0n+8pe/5Prrr88jjzySn//85+ndu3emTZuWkSNHZuONN86mm25a2q+hoSFJMmTIkAwePDiDBw/O1KlTs2zZsiQp/fLUUqeeeupK/+5aMrS9vLy89AVv2rRpKS8vb7J+8uTJGTFixGoFK2VlZU3q6N69e4v3BWgJfXP9tCH0zXf2uB49epRG2bxb/3t7v33yySeb9NsVK1bk7rvvXu1+2759+ybn22ijjVq8L/DBJFhhg/b2L4gTJ07MvHnzcu+99+b//u//cvjhh6dXr15Nfnl751DmysrK0vt58+Zlyy23XOXxV2Xq1Kn517/+1ey1ww47tPhzLF26NLfeemuGDh3aZPnKhjQ3NjbmjDPOSO/evdOzZ8984xvfKE1k19DQkO985zvp06dPNt9885x//vml/ZYvX57vfve72XzzzTNgwIDSF7TkzQkIzzzzzNK6X/3qVy2uvYhZs2Zl8ODBSZKjjjoq999/f+69995Mnz491dXV2XHHHfPHP/4x8+fPT21tbWm/ioqKPPfcc7nkkkvSu3fvTJ48OVVVVRkxYkShOs4///yV/t2dffbZ77nvLrvskqqqqiRvftEbNmxYad3y5ctzzz335Fvf+lYeeuih1NXVFaoPYE3TN/XNtuqbRe2222558skns2DBgixbtqzJv7lHHnkkK1asyPHHH79awQrA6qpo6wJgbXr70wgqKyvzj3/8I127ds2UKVPyH//xHxk3blyT7du1a9fkS99bv9Q0NjZm3rx5ueCCC5r8ElJWVpZLL730Xb8ovv2XvdV1+eWXZ+LEiVm8eHH69OnToqcz/OlPf8p1112Xe++9NxUVFfnUpz6VAw88MAcccEAuuuii/O53v8uf/vSnLF++PJ/61KfykY98JIceemguueSS3HzzzbnjjjtSV1eXI444IptvvnkOPfTQTJgwIbfccksmT56c5557Lp/73OcybNiwDBw4sPBnezePPfZYtt9++yTJHnvskc997nN59dVX3/Ne/YULF2azzTbLCy+8kJdffjmbb775+6pj4403zsYbb1xo386dO6dnz5558cUXM3v27Bx44IGldQ899FAaGhoycuTIbL755rnvvvvymc985j2PWVtb22QOls9//vO58sorC9UHsDL6pr75fryfvvnOHnfjjTfm05/+9ErXvb3/DR06NH/5y1/y5JNPZscdd8xTTz1V2m7SpEnZfffds8cee+RLX/pSampq0rNnz/es5Y477mhyvssuuyxHH310oc8FfDAIVtigtW/fPlOmTCn9ivNOV1xxRerq6jJy5MjccMMNqzzO8uXL89vf/rbZssMPPzyXXXbZGq357UaNGpXvfve7eeWVV3LmmWfmm9/8Zm666aZ33adTp05ZsWJF6uvrs+OOO2b27NmlYbw/+9nP8v3vfz877bRTkuQ3v/lN6ZfHq666KmPHjs0uu+ySJPnmN7+ZK664Ioceemiuv/76jBkzpjR54Uc+8pHcdddd+frXv77GP/OyZcvypS99qckvTvvuu2+23nrr1NfXlybnS978D4Bly5aVln3yk5/M9OnTs3z58tTX16dPnz5JkgULFmT58uVrvNb3MnTo0Nx+++0ZOHBgk/+ImDx5coYNG5by8vLssccemTRpUouCla5duzYZCm/yWmBN0zf1zaRt+uY7e9zbb1l6t/63xRZb5PXXX88jjzySoUOHNglW3rrtdtCgQdlkk01y99135/DDD3/PWvbZZ59cddVVpfdvzVUDsCpuBWKDNXv27Oy999555plncuedd2arrbbKM888k2eeeSb33XdfHnrooTzzzDM599xz3/PXlYqKiowcObLJa88992zRHBfv517xbt26ZcCAAdl9991z8cUX5+abb87rr7/+rvvsvffe+c53vpPjjjsuvXv3zoknnlh69OILL7yQAQMGlLb92Mc+liFDhiRJ5s6dm0GDBpXWDRo0KHPnzk3y5nDub33rW6Xap06dmjlz5rxn/UW0b98+EyZMaLKsT58+mT59ejbeeONm94rvs88+pe0efPDB1NXV5b//+7/zmc98Jq+//npeeuml0j3aK1asWK0viu/nXvHkzWDlV7/6VbOh6JMmTcrf//739OjRI7///e9bPDy5Xbt2GTBgQOnlix6wJumb+mZb9s139ri3z4XzXv1vhx12yC233NKk377xxht54IEH8sMf/jA9evRIdXV1i/tt586dm5zPDxnAezFihQ3WCSeckNGjR+fggw/OihUrMmvWrNK6888/P7vuumu+/vWvp7a2dpXDQt94440kye9///v88Ic/LA1nbmhoyNFHH91kmOiqTJ06tXSv9tttscUWq/V53hqe/dZEc6vyzDPP5OCDD86ZZ56ZefPmZeTIkbniiityxhlnpF+/fnnuueey++67J0kuvPDCLFy4MN/73vfSv3//PPvssxk+fHiSN+/X7t+/f5Jkyy23zPe///3SusWLF6dbt26rVf/7ddxxx+W4445Lkuy888654oorSvW80913312a02TJkiXp1KlTkjefhLBkyZIWn/P888/P6aef3mx5Sz/70KFDc/755+eSSy7Jo48+miSpq6vLP//5z9x8883Zdddd89xzz2Xfffdda1+4AVpK39Q3k7btm0UNHTo0l156aS6++OLSsvvvvz/t2rXL448/noqKitx00025+uqr12odwAeXYIUNVvv27VNRUZFly5ZlyZIlWb58eebMmZNly5bljTfeSPv27ZO8ed/uW/c8L126NH/5y19SVVWV6dOn58ADD0xDQ0P23Xff7LLLLqXbOZYvX56XX365Rb+8vZ97xevr60u/Hn33u9/N9ttv/56jFO65555ccsklufHGG9OjR4+UlZWVvlwed9xxueCCC7L99tunoaEhl112WS688MIkb36hHjt2bLbffvvU1dXl0ksvLX0B+dKXvpSJEydm1113TV1dXb74xS/m5JNPzimnnFL4s60tf/zjH3PHHXfk0ksvTfLmF8S3fvV6a8K+t35RfC/v517xJKVfzoYOHVoKVu6555506NAhBx98cDp06JABAwZk8803z+TJk7P11lunsbExL7zwQrM6kjcnWHznL69du3Zt9sQhgCL0TX0zadu+uSqr6n9vGTp0aNq3b1+aZyZ5c3ToXnvtVbqt7bOf/Wy+853vlALDJUuWNOu3b4V3y5Yta3K+srIyT+ID3pVghQ1Wjx49csopp6RDhw6prKzM5ptvnqOOOiodOnTI008/nb333jtJMn/+/Oy2225JkuHDh+fKK6/Mtttum379+mX+/PnZZJNN0rVr12a/tjz11FNNnoywNlxxxRW54oor0q1bt+y55575zW9+8577HHfccXnkkUdywAEHZPHixdl///1z0kknJUm+9a1vpa6uLvvvv3/Ky8tz8skn5wtf+EKS5Bvf+EZef/31fOpTn0plZWXGjh2bQw45JEly1llnpba2Nh/72MeyfPnyfOlLXyodc2156xfGhoaGNDY2ZsWKFU3uE3/L0qVLk7z5HwRXXHFFvvWtb+Xyyy/PFltskd/97nf585//XPqitGLFikyaNCm//vWvW+XRiQMHDky3bt2aDE2ePHly9tprr9Iw6yTZb7/9MmnSpJx00kmpq6tLv379mhznpptuSp8+fVJXV9fsV+K//vWv2WuvvdbuBwE+EPRNfbOt++aqrKr/vWWnnXbKtttu26S3Tp48OV/84hdL79/6Nzpp0qQkb05a/M5++9JLLyVJ7rzzzibnKy8vf8+RT8AHW1njysZawgZuxowZ+etf/5qZM2fmuuuuyz333NNsHoxVWbZsWfbdd988+eSTOfvss1s838YH2YgRI3Lsscc2e8Tlu6mpqUmvXr2yYMGC/OpXv8p5552Xjh07liYUfEt9fX3OPPPMfPnLX84BBxyQ0aNH5/Of/3yS5Ac/+EGmTZuWs88+OzvvvHOSNyekW7ZsWb773e9m//33X1MfEWCDpm+2Ln0TYP0iWOED68EHH8xtt92WfffdN/vtt99q7Xv//fenT58+2XbbbddSdRuWIl8QAVi36JutR98EWL8IVgAAAAAK8rhlAAAAgIIEKwAAAAAFCVYAAAAAChKsAAAAABS0wQQrjY2Nqauri7l4AeD90VMBAFpugwlWFixYkO7du2fBggVtXQoArNf0VACAlttgghUAAACA1iZYAQAAAChIsAIAAABQkGAFAAAAoCDBCgAAAEBBghUAAACAggQrAAAAAAUJVgAAAAAKEqwAAAAAFCRYAQAAAChIsAIAAABQkGAFAAAAoCDBCgAAAEBBghUAAACAggQrAAAAAAUJVgAAAAAKEqwAAAAAFCRYAQAAAChIsAIAAABQUEVbFwAAAKxfHn744cycObOty3hX22yzTYYNG9bWZQAfAIIVAACgxebMmZM99tgjDQ0NbV3Ku6qoqMisWbPSv3//ti4F2MAJVgAAgBarrq5OQ0NDvnzccenTp09bl7NSL7/8cn523XWprq4WrABrnWAFAABYbR/96EezzYe2aesyVmrm0zPzs+uua+sygA8Ik9cCAAAAFCRYAQAAAChIsAIAAABQkGAFAAAAoCDBCgAAAEBBghUAAACAggQrAAAAAAUJVgAAAAAKEqwAAAAAFCRYAQAAAChIsAIAAABQkGAFAAAAoCDBCgAAAEBBghUAAACAggQrAAAAAAUJVgAAAAAKEqwAAAAAFCRYAQAAACiozYKV+fPn54EHHkh1dXVblQAAAADwvrRJsHLzzTdn8ODBOfnkk9O/f//cfPPNSZJp06Zl2LBh6dmzZ8aMGZPGxsa2KA8AAACgRVo9WHn99dczevTo/PWvf82jjz6aK6+8MmeddVbq6+tz8MEHZ9ddd82UKVMyffr0TJw4sbXLAwAAAGixVg9WFixYkEsuuSQ77rhjkmSnnXZKTU1N7rrrrtTW1ubiiy/O1ltvnXHjxuXaa69t7fIAAAAAWqyitU/Yr1+/jBo1KkmybNmyXHTRRfnsZz+bxx57LMOHD0/nzp2TJEOHDs306dNXeZz6+vrU19eX3tfV1a3dwgFgA6WnAgAU12aT1z722GPZbLPNMmnSpFxyySWpq6vLwIEDS+vLyspSXl6empqale4/fvz4dO/evfTq169fa5UOABsUPRUAoLg2C1aGDh2au+++O0OGDMlxxx2XioqKVFZWNtmmY8eOWbRo0Ur3//a3v53a2trSa+7cua1RNgBscPRUAIDiWv1WoLeUlZXlIx/5SCZOnJitttoq48ePz7Rp05pss2DBgnTo0GGl+1dWVjYLYgCA1aenAgAU1+ojVu65556MGTOm9L6i4s1sZ7vttsuDDz5YWj579uzU19enV69erV0iAAAAQIu0erCy3Xbb5corr8xVV12VuXPn5uyzz87++++fT3/606mtrc0NN9yQJJkwYUL222+/lJeXt3aJAAAAAC3S6sHKFltskV//+te55JJLMmTIkCxatCg///nPU1FRkauuuipf+9rXstlmm+U3v/lNJkyY0NrlAQAAALRYm8yxcsABB6z0UcqHHnponn766UyZMiV77LFHNtlkkzaoDgAAAKBl2mzy2lXp27dv+vbt29ZlAAAAALynNnvcMgAAAMD6TrACAAAAUJBgBQAAAKAgwQoAAABAQYIVAAAAgIIEKwAAAAAFCVYAAAAAChKsAAAAABQkWAEAAAAoSLACAAAAUJBgBQAAAKAgwQoAAABAQYIVAAAAgIIEKwAAAAAFCVYAAAAAChKsAAAAABQkWAEAAAAoSLACAAAAUJBgBQAAAKAgwQoAAABAQYIVAAAAgIIEKwAAAAAFCVYAAAAAChKsAAAAABQkWAEAAAAoSLACAAAAUJBgBQAAAKAgwQoAAABAQYIVAAAAgIIEKwAAAAAFCVYAAAAAChKsAAAAABQkWAEAAAAoSLACAAAAUJBgBQAAAKAgwQoAAABAQYIVAAAAgIIEKwAAAAAFCVYAAAAAChKsAAAAABQkWAEAAAAoSLACAAAAUJBgBQAAAKAgwQoAAABAQYIVAAAAgIIEKwAAAAAFCVYAAAAAChKsAAAAABQkWAEAAAAoSLACAAAAUJBgBQAAAKAgwQoAAABAQYIVAAAAgILaJFi59dZbM2jQoFRUVGT33XdPVVVVkmT06NEpKysrvQYPHtwW5QEAAAC0SKsHK7Nmzcpxxx2XCRMmZN68edlqq63yla98JUkyderU3HHHHampqUlNTU0effTR1i4PAAAAoMUqWvuEVVVVGTduXI444ogkyUknnZSRI0emoaEh06ZNy8c//vF06dKltcsCAAAAWG2tPmLloIMOyte+9rXS+6eeeiqDBw/O448/nsbGxuy8887p1KlTRo4cmTlz5rR2eQAAAAAt1uojVt5u6dKlueiii3LaaaelqqoqQ4YMyWWXXZbevXvn1FNPzYknnpi77rprpfvW19envr6+9L6urq61ygb4QHv44Yczc+bMti7jXW2zzTYZNmxYW5ex3tBTAQCKa9Ng5dxzz02XLl1ywgknpH379hk1alRp3U9+8pMMGjQodXV16datW7N9x48fnwsuuKA1ywX4wJszZ0722GOPNDQ0tHUp76qioiKzZs1K//7927qU9YKeCgBQXJsFK5MnT84VV1yRBx98MO3bt2+2vkePHlmxYkVeeumllQYr3/72t3P66aeX3tfV1aVfv35rtWaAD7rq6uo0NDTky8cdlz59+rR1OSv18ssv52fXXZfq6mrBSgvpqQAAxbVJsPLss89m1KhRufzyy7PDDjskSU4//fQMHz68NKntww8/nHbt2q3yi11lZWUqKytbrWYA/n8f/ehHs82HtmnrMlZq5tMz87PrrmvrMtYreioAQHGtHqwsXrw4Bx10UA499NAccsghWbhwYZJkp512yjnnnJM+ffqkoaEho0ePzrHHHpvOnTu3dokAAAAALdLqwcqf/vSnVFVVpaqqKldffXVp+XPPPZcZM2bkkEMOSdeuXXPYYYdl3LhxrV0eAAAAQIu1erBy6KGHprGxcaXrxo8fn/Hjx7dyRQAAAADFtGvrAgAAAADWV4IVAAAAgIIEKwAAAAAFCVYAAAAAChKsAAAAABQkWAEAAAAoSLACAAAAUJBgBQAAAKAgwQoAAABAQYIVAAAAgIIEKwAAAAAFCVYAAAAAChKsAAAAABQkWAEAAAAoSLACAAAAUJBgBQAAAKAgwQoAAABAQYIVAAAAgIIEKwAAAAAFCVYAAAAAChKsAAAAABQkWAEAAAAoSLACAAAAUJBgBQAAAKAgwQoAAABAQYIVAAAAgIIEKwAAAAAFCVYAAAAAChKsAAAAABQkWAEAAAAoSLACAAAAUJBgBQAAAKAgwQoAAABAQYIVAAAAgIIEKwAAAAAFCVYAAAAAChKsAAAAABQkWAEAAAAoSLACAAAAUJBgBQAAAKAgwQoAAABAQYIVAAAAgIIEKwAAAAAFCVYAAAAAChKsAAAAABRU0dYFAAAArA133nlnqqqq2rqMVdpmm20ybNiwti4DeJ8EKwAAwAbl3//+d5LkvPPOa+NK3l1FRUVmzZqV/v37t3UpwPsgWAEAADYoCxcuTJIcddRRGbDVVm1czcq9/PLL+dl116W6ulqwAus5wQoAALBB2m2XXbPzzju3dRkrNfPpmfnZdde1dRnAGmDyWgAAAICCBCsAAAAABQlWAAAAAAoSrAAAAAAUJFgBAAAAKEiwAgAAAFBQmwQrt956awYNGpSKiorsvvvuqaqqSpJMmzYtw4YNS8+ePTNmzJg0Nja2RXkAAAAALdLqwcqsWbNy3HHHZcKECZk3b1622mqrfOUrX0l9fX0OPvjg7LrrrpkyZUqmT5+eiRMntnZ5AAAAAC3W6sFKVVVVxo0blyOOOCKbbbZZTjrppEyZMiV33XVXamtrc/HFF2frrbfOuHHjcu2117Z2eQAAAAAtVtHaJzzooIOavH/qqacyePDgPPbYYxk+fHg6d+6cJBk6dGimT5/e2uUBAAAAtFirBytvt3Tp0lx00UU57bTT8uyzz2bgwIGldWVlZSkvL09NTU169uzZbN/6+vrU19eX3tfV1bVKzQCwodFTAQCKa9OnAp177rnp0qVLTjjhhFRUVKSysrLJ+o4dO2bRokUr3Xf8+PHp3r176dWvX7/WKBkANjh6KgBAcW0WrEyePDlXXHFFfvnLX6Z9+/bp1atXXnvttSbbLFiwIB06dFjp/t/+9rdTW1tbes2dO7c1ygaADY6eCgBQXJvcCvTss89m1KhRufzyy7PDDjskSYYNG5ZrrrmmtM3s2bNTX1+fXr16rfQYlZWVzUa4AACrT08FACiu1UesLF68OAcddFAOPfTQHHLIIVm4cGEWLlyYj33sY6mtrc0NN9yQJJkwYUL222+/lJeXt3aJAAAAAC3S6iNW/vSnP6WqqipVVVW5+uqrS8ufe+65XHXVVTnqqKMyZsyYLF++PPfff39rlwcAAADQYq0erBx66KFpbGxc6boBAwbk6aefzpQpU7LHHntkk002aeXqAAAAAFquTR+3vDJ9+/ZN375927oMAAAAgPfUpo9bBgAAAFifCVYAAAAAChKsAAAAABQkWAEAAAAoSLACAAAAUJBgBQAAAKAgwQoAAABAQYIVAAAAgIIEKwAAALCB+e///u/ccsstLdq2rq6u2bI777xzpcuTpLGxMb/4xS/yxhtvNFl+7bXX5t///vfqF/s+rFixolXPtzKCFQAAANiATJ8+PWPHjs24ceOydOnSVW732muv5bnnnsuee+6ZSZMmlZa/8cYbOfzww1NfX7/S/Z5//vl89atfzfLly0vLqqurc8IJJ+SVV15Z5flWrFiRv/71r/nOd76TBQsWlJY/+OCDGTx48Cr3+/vf/56rrrqq9L6ysjJz585Nklx44YUZPXr0KvdtDYIVAAAA2EAsXLgwn//85/O9730vO+64Y0466aRmozqeeOKJ7LXXXunfv3+uvvrqtG/fPnV1dfnhD3+YX/3qVxk8eHA23XTT7LPPPhkwYEDGjBnTZP8nn3wyn/zkJ9OtW7fSsjvvvDO77bZb2rdvn2eeeSbPPPNMamtrkyS33357dtttt/Tv3z9HHnlkNt5447z22mulfSsrK1NZWbnKz9SlS5d85zvfyY033pgkad++fTp16pTHH388F154YY444oj3fd3ej4o2PTsAAACwRixatCiHHHJIdt1115x22mmZP39+9txzz/znf/5nfvazn6Vnz55Jkm233TY/+MEPcvjhh2fcuHGZNGlSBgwYkJNPPjlnnXVWPv3pT+foo4/O7rvvnksvvTSLFi0qnWPrrbfOq6++muXLl6d3797p3r17Zs2alV/84hd55ZVXctBBByVJXnnllfzXf/1Xvv71r2fffffNzjvvnCeffDITJkzIGWeckYaGhpx77rmlbV977bXS+x133DFHHnlkli9fnvr6+nz4wx/Oz3/+89x0000ZNWpUqZYbbrgh48ePz1577ZXFixenffv2qaho/ZjDiBUAAABYz02bNi3Dhw9P//7987Of/SzTpk3LaaedlsmTJ6eqqiof+tCHcumll+b1119Phw4dMmLEiCb79+7dOw899FD69euXJPnxj3+cH/zgB3njjTey8cYbl7ZbsGBBnnjiiSxatChTpkzJwoULM2vWrDz66KOZPn16ZsyYkRkzZuQ///M/S6NQOnTokL59+5aOsXz58ixfvjz/9V//lT333DO77bZbNtpoo4wYMSILFy7MnXfemSSZOnVq+vbtm4EDB2b06NF54IEHUl5enjfeeCMf/ehH87vf/S4/+tGPMnjw4Gy99da599571/JVXjnBCgAAAKynXnjhhZx88snZfffdc9xxx+W6665Lu3bt8sYbb+See+5Jv3798vDDD+eAAw7IN7/5zfTt2zcXXnhhNt1009TU1GTAgAF54oknsssuu2S77bbLY489liS59NJL89nPfjavvPJKNtlkk9L52rVrGiOUlZXlO9/5Tr761a+mc+fOpeXLli1Lx44dkyTf/va3M2jQoBxxxBF58MEHM2DAgPz0pz9Nkuyzzz7Zfffds9FGG2W//fbLdtttVzrHRz/60dTU1OT555/P008/nc9//vPZc88906lTp9xzzz3p0KFDvvOd7+SZZ57Jiy++mE9+8pNr9VqvimAFAAAA1lMrVqzIs88+m4ceeiijRo0qTepaXl6e8vLyJEnXrl1z44035u67785JJ52UU089Na+++mp69uyZ2bNnZ/jw4bnlllvy3HPPZauttkqSbLXVVrn++utz0003ZYcddnjXGk499dQccMABOfvss0vLli1bVhqxctFFF5XOM3z48Nx999057bTTWvwZp0+fnv333z9TpkzJ7bffnuTNeVkmTpyY//7v/85+++2X559/vuUXbQ0TrAAAAMB6qn///rnrrruy44475n//93/zzW9+s7TuhRdeSO/evbPxxhunsrIyjz76aC666KLSSJIkqa+vzyabbJIlS5bk9ttvT2NjY2nd3nvvnUmTJmWnnXZqcs5ddtklvXv3zi677JIk2XPPPbPtttvmsssuy/Tp05MkS5YsaTIh7bx583L//fdnxYoVOfjgg5s8hWhVli1bls985jP5xCc+kcMPPzx//OMf071792yxxRZJkt133z1TpkxJ375987nPfa5J7a3J5LUAAACwAejSpUu6dOlSet+vX7/Mnj272XZ1dXX5y1/+ktra2hx22GHZdtttM2XKlNx88835/ve/nwcffDA77rhjafsZM2bklVdeKc218sgjj2TAgAGlUShJ0qdPnxx55JG55JJLctVVV2XJkiXp1KlT6Rjf+973stdee2X58uUZO3Zs/va3vyV5cyLdZcuWpbq6OgMGDMiCBQty8MEHJ3nztqMxY8Zkl112yUYbbVQ6Vn19fZ544olsvvnm6dSpU66//vrMnz8/DQ0Nad++/Zq7oC1kxAoAAABsAMrKylJWVvae202cODETJ05M165dc9ttt2XIkCH50Y9+lO985zs58MADM23atEybNi1TpkzJtGnT0qVLl/Tq1es9j3vCCSeUJqldtGhRunfvniS54447cvvtt+ekk05KknzhC18oPQHoqaeeym233ZZtttkms2fPzn/9139l8eLFSZJf//rX+dznPpftttsuAwYMyIABA9KnT5+88MILOeKII0rLBgwYkKFDh+Z73/teoev2fhmxAgAAAB8gp556ak499dT07t07FRUVWbJkSSoqKnLggQdm6623TseOHVNWVpbFixfnueeeS7t27VoU2Oy+++7ZfffdkyQ1NTXp1q1bkuSf//xnLr744iajaSoqKvLwww83uV0oSb72ta/la1/7WpLkyCOPzJFHHtlk/Ze//OW89NJLeeqpp/KXv/wlW2655fu6FmvCGglWGhsbs2LFitLEOAAAAEDrWLp0aYuCj+XLl6exsTEVFRVpbGxMWVlZZs6cmQsvvDA9evTIww8/nGuuuSaf+tSnSvu8/PLLTZ7209DQkF122SXt2rXLihUrmj0lKHlzPpUXX3yxNHrlggsuSJLcddddpXlQ2rVrl9122y3JmxPwvtf8KEuXLs0555yThx9+OP/4xz9y55135mMf+1j++7//O5/97Gff87OvTat9K9DXv/711NfXN1l2zz33vOcswQAAAMCad9lll2WTTTbJhAkT8oc//CG9e/fOyJEjs3DhwvTu3bv02mSTTXLzzTfnhRdeyBe+8IX0798/06ZNy/e///1ceumlOeigg3LnnXeWjnvbbbdl7Nixpclik+Swww7LzJkzU11dnVmzZuWUU04prXv88cczdOjQnHzyyfn5z3/eZIRK8maY0rVr12b1L1u2LEuWLGm2/PXXX88dd9yRMWPGZMCAAXnxxRfzt7/9LV26dMkRRxyRX/3qVzn//POz3Xbb5fvf/36eeuqpNXE5V9tqj1i58sorM2HChCbDdYYMGZI5c+as0cIAAACA93bGGWfkjDPOaPH2K1asyAEHHJAf//jH2XzzzUvLb7311uy9996l97Nnz87y5ctzxRVXlJZdffXVpT/37NkzY8eOLb0fOnRoHn/88VWe94ADDsgBBxzQbPmee+6ZWbNmNVteXV2dc889NyNHjszdd9+d7bffvsn6YcOG5bHHHsvNN9+ciRMn5qijjnr3D76WtDhYueGGG5K8edvPL3/5y9JQoMbGxvz5z38uDeEBAAAA1l3t2rXLcccd12z5228BSt6ci6UtDR48OI8++ui7btOuXbscddRRbRaqJKsRrFx33XVJ3pxl+MYbb0xFxZu7tmvXLoMHD85NN920dioEAAAAWEe1OFi59957k7wZpNxxxx2l2X0BAAAAPqhWe/LaE088sdnjkAAAAAA+iFZ78trLL7889fX1mTt3brPHIfXv33+NFQYAAACwrlvtYOUnP/lJxowZk6VLlzYJVsrKyrJ8+fI1WhwAAADAumy1bwX67ne/mwsvvDBLlizJihUrSi+hCgAAAPBBs9ojVrp165ZPfOITad++/dqoBwAAAD4w5syZk+rq6lY5V+/evQtN4XH33Xdnv/32y7x587LFFls0Wz979uwMHDiw2XQhq3Lffffl2GOPzezZs1dr3bpqtYOVyy67LCeccEKuuOKK7LjjjmujJgAAANjgzZkzJ9tut12WLF7cKufr2KlTnpoxY7XDlUmTJiVJJk+enC996Utro7SSvfbaK48//vhaPceattrByqmnnpr58+dnp512Ss+ePZs8dvnZZ59do8UBfNA8/PDDmTlzZluXsUrPPfdcW5cAALDBqK6uzpLFi7P9F0en86Z91+q5Fr06L1W/uCzV1dWrHaxMnjw5I0aMaJVgpaKioknOsD5Y7WBl4sSJa6EMAObMmZM99tgjDQ0NbV3Ke1pav7StSwAA2GB03rRvuvYb1NZlrNRrr72Wxx57LLfeemu+8pWvpLGxMWVlZfnDH/6Qb37zm6mpqcno0aOb7PPwww/nlFNOyYwZM/KJT3wi1113Xbp3796i863qVqA//vGPGTNmTObOnZvDDz88//u//5vKyso19THfl9UOVgYOHLg26gD4wKuurk5DQ0O+fNxx6dOnT1uXs1LTpk3Lbbffvl6EPwAAvH+TJ0/ONttsk/322y81NTV54oknstlmm+Xzn/98Lrnkkuyzzz456qijStu//vrr+dSnPpVTTz01v/71r3PCCSfkjDPOyDXXXFO4hlmzZuWQQw7J5Zdfnr333juHH354fvSjH+Xcc89dEx/xfVvtYGXAgAEpKysrTUpTVlZWWufJQADv30c/+tFs86Ft2rqMVbrt9tvbugQAAFrJ5MmTM3z48HTs2DEf+chHMmnSpGyyySYZNGhQvvrVryZJLrjgghx44IFJkj/84Q9p3759zjvvvJSVleW0007L0Ucf/b5quOmmm/KRj3wkX/7yl5MkX/va13Lttdeuv8HKihUrSn9evHhxHn744VxwwQU577zz1mhhAAAAQNuaPHlyqqur87vf/S6LFi1K9+7ds88++6Rfv36lbQYN+v9vY5o3b15ee+219OzZM8mbGcKCBQuyZMmSdOzYsVAN8+bNyyOPPJIePXokSRoaGtKlS5fiH2oNW+1g5e06deqUj3/847ntttvy8Y9/PFOnTl1TdQEAAABtaPr06Zk3b14efPDBbLbZZvnrX/+aE088MZ/97Gfz4osvlrabM2dO6c9bbrlldtttt9x8881JksbGxtTW1qZ9+/aF69hyyy3zmc98JhdddFGSN++WWbRoUeHjrWnt1sRBXn311bz00ktr4lAAAADAOmDSpEkZPHhwdt999wwYMCCHHXZYabTIU089leuvvz6zZs3K2LFjS/t8+tOfzvPPP59//vOfKS8vz80335yRI0eWphMp4gtf+EL++te/5umnn06SXHrppTnuuOPe78dbYwpNXvvOeVVeeumlfPOb31yTdQEAAMAHwqJX562T55g8eXL23Xff0vsuXbpk+PDhefzxx/PLX/4yZ5xxRhYvXpyjjz46DzzwQJKkR48eue2223LKKadk2rRpGTJkSG677bZUVBS/YWbQoEG5/vrrc/rpp+fZZ5/N7rvvnptuuqnw8da09/245bKysmy55ZZN7qkCAAAA3l3v3r3TsVOnVP3islY5X8dOndK7d+8Wb3/HHXc0W/aXv/yl9OfDDjus9OcLL7yw9Odhw4bloYceWuVxR4wY0exxyu+1buTIkRk5cmQLqm59qx2s7L333kmSf/7zn5k7d2769+8vVAEAAIDV1L9//zw1Y0aqq6tb5Xy9e/dO//79W+VcHySrHazMmzcvhxxySJ5++ulsscUWefHFF7PNNtvk1ltvzRZbbLE2agQAAIANUv/+/YUd67nVnrz2xBNPzG677ZbXXnstVVVVeeWVV7LLLruUnl8NAAAA8EGx2iNW/va3v+WJJ55Ihw4dkiQdO3bMOeeck6FDh67x4gAAAADWZas9YuXDH/5wrr/++ibLrr/++uy4445rrCgAAACA9cFqj1i54oorsv/+++fGG2/MwIED8+yzz2bBggWZNGnS2qgPAAAAYJ3V4mClvr4+99xzT7p3756ZM2fm9ttvz8yZM3P00UfnoIMOSteuXddmnQAAAADrnBbdCjR16tQMGjQoX//61/PAAw9ko402ypFHHpk//elPOeOMM7L11lvnkUceWdu1AgAAAKxTWjRi5cQTT8y5556bk046qcnyv//970mSH/zgBznxxBPz8MMPr/kKAQAAYAM1Z86cVFdXt8q5evfuvdqPdn799dfzla98JXfddVe23XbbXHXVVVm4cGGOPfbYzJ49e5X7zZ49OwMHDkxjY+P7rHrd16JgZcaMGdl///1XuX7UqFEZP378GisKAAAANnRz5szJ9tttl0WLF7fK+Tp36pSqGTNWK1w57rjjsmTJkvzrX//K5MmT85nPfCbXXnvte+7Xv3//1NTUvJ9ymxkwYEAmTpyYESNGrNHjvl8tClZGjhyZU089Ndddd1023XTTJusWLlyYc845Z537YAAAALAuq66uzqLFi/PdvfbLVt17rdVzPV/773zvb39OdXV1i4OV5557LrfeemvmzZuXzTffPB/60Ifywx/+MCtWrHjPfdu1a5cePXq8z6rXDy2aY+Xaa69Nhw4dssUWW2SbbbbJxz72sYwYMSI77bRTNtlkk8ycOTPXXHPN2q4VAAAANjhbde+VbTfeZK2+igQ3f//73zNo0KBsvvnmpWUnn3xyHn300STJbbfdlq222io9e/bM//zP/zTZd/bs2SkrK2uy7L777suAAQNWud+kSZOy/fbbp3Pnztlzzz0za9asJG8O9igrK8vzzz+fffbZJ2VlZZkwYUJpvxEjRmTixIm5+OKLs9VWW+W2224rrfvtb3+bbbbZJhtttFH22WefzJs3L0kyduzYfOpTn8ree++d7t2758gjj0xdXd1qX6OkhcFK9+7d87vf/S7PPPNMzj///Bx88MH55Cc/mRNOOCF33313pkyZ0uRCAwAAAOu3efPmZbPNNmuy7Mwzz8xee+2V+fPnZ8KECbnjjjtywQUXZMyYMVncglua3m2/Y445Jscff3xmzpyZHXfcMeeee26S5JZbbklNTU369euX22+/PTU1NTnttNOaHPfKK6/MPffck6uvvjp77LFHkuTf//53vvCFL+Tcc8/NM888k169euUHP/hBaZ8//vGPOf744zNlypTMnj075513XqHr1OLHLSdv3s80YMCAQid6p/nz52e33XbLvffeWzrm6NGj85Of/KS0zdZbb51nnnlmjZwPAAAAaLlly5alvLx8pesWLlyYyy+/PDvuuGO22WabfOMb38irr76arbba6l2P+W77derUKfX19enevXuuuOKK0i1HG220UZI3by/q0qXLSm8xWrhwYf7yl7+kffv2pWVdu3bNnDlz0rVr10yZMiVLly7NzJkzS+v33HPPHHPMMUmSs846K6eddlouvfTS1bpGSQtHrKxp1dXVOeigg5rNIDx16tTccccdqampSU1NTWl4EQAAANC6evTo0WwC2j322CNVVVXp2bNndtpppyRJhw4dkqRFTwB6t/1uuumm3Hfffdl8882z11575ZFHHmlxrV/72teahCpvHffss8/OFltskbPPPjsNDQ1Zvnx5aX2/fv1Kf+7bt29eeeWVFp/v7dokWDnyyCNz5JFHNlnW0NCQadOm5eMf/3h69OiRHj16pGvXrm1RHgAAAHzgfeQjH8nMmTObzD3y3HPPpX///unWrVuhY65qvzfeeCNvvPFGJk+enH//+9/52Mc+li9/+ctNtmnXrt0qw5u3RrW83S9/+cvcf//9eeGFF/LAAw/k4IMPbrL+7YM95syZU3iKkzYJVq666qp84xvfaLLs8ccfT2NjY3beeed06tQpI0eOzJw5c9qiPAAAAPjA22OPPTJkyJCccMIJefbZZ/ODH/wgy5YtWyvnWrFiRT796U/nF7/4Raqrq9OuXbtmTx8aPHhw/vjHP+all17K3Xff/Z7HXLhwYZI351q566678v3vf79JMPPggw/m+uuvz9NPP50LL7wwn/3sZwvVvlpzrKwpgwYNarasqqoqQ4YMyWWXXZbevXvn1FNPzYknnpi77rprpceor69PfX196X3R2XsB2DDdeeedqaqqausyVmmbbbbJsGHD2rqMJHoqALS152v/vU6eo6ysLLfffnu++tWvZsiQIdlhhx1y11135Y033ljj9XXt2jW/+MUvct555+WrX/1qBg8enMsvv7zJNhdddFGOPvroXHrppfnoRz+aT3ziE+96zGOOOSa33357tt9++3z4wx/OiSeemMsvvzxLlixJkhx88MG54YYbcuqpp+bAAw/M+eefX6j2NglWVmbUqFEZNWpU6f1PfvKTDBo0KHV1dSsdKjR+/PhccMEFrVkiAOuBf//7zS8NRWd1by0VFRWZNWtW+vfv39al6KkA0EZ69+6dzp065Xt/+3OrnK9zp07p3bv3au3Tt2/f3Hnnnc2Wv3PO1HfeojNgwIBmy0aMGPGu+x1++OE5/PDDV1nL0KFD89hjjzVbft999610+27duuVPf/pTk2Vjx44t/blXr15NHs1c1DoTrLxTjx49smLFirz00ksrDVa+/e1v5/TTTy+9r6urazLxDAAfTG8N+TzqqKMy4D1mpW8rL7/8cn523XWprq5eJ4IVPRUA2kb//v1TNWNGqqurW+V8vXv3Xie+e2xo1plg5fTTT8/w4cNzxBFHJEkefvjhtGvXbpVf7CorK1NZWdmaJQKwHtltl12z8847t3UZKzXz6Zn52XXXtXUZJXoqALSd/v37CzvawNtHrrxf60ywsvPOO+ecc85Jnz590tDQkNGjR+fYY49N586d27o0AAAAgJVaZ4KVY445JlVVVTnkkEPStWvXHHbYYRk3blxblwUAAACwSm0arLxzIpvx48dn/PjxbVQNAAAAwOpp19YFAAAAAKyvBCsAAAAABQlWAAAAAApaZyavBQAAgA+aOXPmpLq6ulXO1bt379V+tPMLL7yQY445Jv/85z+z++675+c//3m22GKLtVTh+kmwAgAAAG1gzpw52X777bNo0aJWOV/nzp1TVVW1WuHKqFGjsvXWW+eaa67JuHHjcvzxx+euu+56X3UMGDAgEydOzIgRI97XcdYVghUAAABoA9XV1Vm0aFG+8+1vr/ZIktU1Z86cjBs/PtXV1S0+V1VVVf7xj3/kD3/4Q7p27ZrzzjsvAwYMSF1dXbp167ZW612fCFYAAACgDfXv3z/bfGibti6jmX/+85/Zeuut07Vr1yTJlltumbPOOitLly7Nww8/nFNOOSUzZszIJz7xiVx33XXp3r17Jk6cmIkTJ2bUqFE599xz09jYmJ/+9Kc5/PDDM3LkyPzpT39Kkuyzzz5JkvHjx+fss89OkvzlL3/Jqaeemueffz6f+tSn8tOf/jQ9evR4z3VtzeS1AAAAQDMvv/xyNt5449L78vLyTJgwIRUVFfnUpz6VT3/603niiSeyaNGinHHGGaXtnnzyydxyyy3529/+lmOPPTann356kuSWW25JTU1N+vXrl9tvvz01NTU57bTTkiRz587NgQcemJNPPjlTp07NwoULc+yxx77nunWBESsAAABAM8uWLUu7dm+Oxzj99NPzs5/9LElyxhlnpH379jnvvPNSVlaW0047LUcffXRpv4ULF+b666/PZpttlq985Sv50Y9+lCTZaKONkiTt2rVLly5dmow4+cUvfpE99tgjX/3qV5MkV1xxRfr27ZuXX375Xdf16dNnrV+H92LECgAAANBM9+7d8/rrrydJzjnnnPzrX//KihUr0qFDh7z22mvp2bNnevTokc997nN57bXXsmTJkiTJ9ttvn8022yxJ0qFDhxada+7cuRk0aFDp/RZbbJHKysrMnTv3XdetC4xYAQAAAJrZeeed89RTT2XBggXZeOON07lz5yxcuDANDQ3ZbbfdcvPNNydJGhsbU1tbm/bt2yfJe05s265duzQ2NjZZ1r9//9xzzz2l9/PmzUt9fX369+//ruvWBUasAAAAAM3sueee2WabbXLiiSdm9uzZ+d73vpfGxsZ8+tOfzvPPP59//vOfKS8vz80335yRI0c2C0tWZfDgwfnjH/+Yl156KXfffXeS5Itf/GIeeOCBXH311Xnuuedy0kkn5dBDD81mm232ruvWBUasAAAAQBuaM2fOOnmOdu3a5dZbb80xxxyTD3/4wznggAPSr1+/JMltt92WU045JdOmTcuQIUNy2223paKiZRHDRRddlKOPPjqXXnppPvrRj+YTn/hEttxyy9xxxx35xje+kTFjxuRTn/pULr/88iR513XrAsEKAAAAtIHevXunc+fOGTd+fKucr3Pnzundu/dq7TNo0KD87W9/W+m6hx56qNmyY489tskTewYMGNBsJMvQoUPz2GOPNdt37733zr/+9a+Vnuvd1rU1wQoAAAC0gf79+6eqqirV1dWtcr7evXuvM/OSbEgEKwAAANBG3pqclfWXyWsBAAAAChKsAAAAABQkWAEAAAAoSLACAADw/7V372FW1vXawO9hBgaIs4AoghzcniPMKDaVZpmpaem7zdet5LaDoRUd3FGZtdMOYHt7me0OnrLIDpa5NTOzME9ZhokmhYwnFEfxOIgzIMPADOv9w+28jjMgPA6zhpnP57rWVetZz1pzrx8w3+W9nvUsgIIUKwAAAAAFKVYAAAAAClKsAAAAABSkWAEAAAAoSLECAAAAUJBiBQAAAKAgxQoAAABAQYoVAAAAgIIUKwAAAAAFKVYAAAAAClKsAAAAABSkWAEAAAAoSLECAAAAUJBiBQAAAKAgxQoAAABAQYoVAAAAgIIUKwAAAAAFKVYAAAAAClKsAAAAABSkWAEAAAAoSLECAAAAUJBiBQAAAKAgxQoAAABAQYoVAAAAgIIUKwAAAAAFKVYAAAAAClKsAAAAABSkWAEAAAAoSLECAAAAUJBiBQAAAKAgxQoAAABAQYoVAAAAgIIUKwAAAAAFKVYAAAAAClKsAAAAABRUtmJl5cqVmThxYpYvX966bcmSJZk2bVqGDx+eOXPmpFQqlSseAAAAwCsqS7FSV1eXI444ok2p0tTUlCOPPDL7779/Fi1alKVLl2b+/PnliAcAAACwRcpSrBx33HE57rjj2my77rrrUl9fn3PPPTeTJ0/O3Llzc8kll5QjHgAAAMAWKUuxctFFF+WTn/xkm22LFy/O9OnTM3DgwCTJlClTsnTp0nLEAwAAANgiVeX4oZMmTWq3raGhIRMnTmy9XlFRkcrKyqxatSrDhw9vt39TU1Oampra3B8A2HpmKgBAcd3mW4GqqqpSXV3dZlv//v2zdu3aDvefN29ehg4d2noZN25cV8QEgB7HTAUAKK7bFCsjRozIM88802bb6tWr069fvw73P/3001NfX996efTRR7siJgD0OGYqAEBxZfkoUEemTZuW73//+63Xly9fnqampowYMaLD/aurq9sd4QIAbD0zFQCguG5zxMoBBxyQ+vr6XHrppUmSs88+OwcffHAqKyvLnAwAAACgY93miJWqqqpcdNFFOf744zNnzpy0tLTklltuKXcsAAAAgE0qa7FSKpXaXD/qqKPywAMPZNGiRZkxY0ZGjRpVpmQAAAAAr6zbHLHyorFjx2bs2LHljgEAAADwirrNOVYAAAAAtjeKFQAAAICCFCsAAAAABSlWAAAAAApSrAAAAAAU1O2+FQjKoba2NnV1deWOsVkjR47M+PHjyx0DgDIyrwCg+1Gs0OvV1tZmjz33zLrGxnJH2az+Awbkvnvv9WIVoJcyrwCge1Ks0OvV1dVlXWNj9po5OwNHjy13nA6tfXpFan7y7dTV1XmhCtBLmVcA0D0pVuB/DRw9NoPHTSp3DADYLPMKALoXJ68FAAAAKEixAgAAAFCQYgUAAACgIMUKAAAAQEGKFQAAAICCFCsAAAAABSlWAAAAAApSrAAAAAAUpFgBAAAAKEixAgAAAFCQYgUAAACgIMUKAAAAQEGKFQAAAICCFCsAAAAABSlWAAAAAApSrAAAAAAUpFgBAAAAKEixAgAAAFCQYgUAAACgIMUKAAAAQEGKFQAAAICCFCsAAAAABSlWAAAAAApSrAAAAAAUpFgBAAAAKEixAgAAAFCQYgUAAACgIMUKAAAAQEGKFQAAAICCFCsAAAAABSlWAAAAAApSrAAAAAAUpFgBAAAAKEixAgAAAFCQYgUAAACgoKpyBwAAoGepqakpd4TNGjlyZMaPH1/uGAD0EIoVAAA6xfqG55JUZObMmeWOsln9BwzIfffeq1wBoFMoVgAA6BTNjc8nKWXCMSdnh/GTyx2nQ2ufXpGan3w7dXV1ihUAOoViBQCATjVg1E4ZPG5SuWMAQJdw8loAAACAghQrAAAAAAUpVgAAAAAKUqwAAAAAFKRYAQAAACio2xUrs2fPTkVFRetlt912K3ckAAAAgA51u69bvvPOO3PttddmxowZSZLKysoyJwIAAADoWLcqVpqbm7NkyZIccMABGTRoULnjAAAAAGxWt/oo0N///veUSqVMnTo1AwYMyKGHHpra2tpyxwIAAADoULcqVmpqarLPPvvksssuy9KlS9O3b9/MmjWrw32bmprS0NDQ5gIAbD0zFQCguG5VrJxwwglZuHBhpk2blokTJ+Y73/lOFixY0OELvHnz5mXo0KGtl3HjxpUhMQBs/8xUAIDiulWx8nLDhg3Lxo0b88QTT7S77fTTT099fX3r5dFHHy1DQgDY/pmpAADFdauT15522mmZPn16jj322CTJHXfckT59+nT4zll1dXWqq6u7OiIA9DhmKgBAcd2qWJk6dWrOOOOMjBkzJs3NzZk9e3ZOOumkDBw4sNzRAAAAANrpVsXKiSeemJqamrz3ve/N4MGDc/TRR2fu3LnljgUAAADQoW5VrCQvnEBv3rx55Y4BAAAA8Iq69clrAQAAALozxQoAAABAQYoVAAAAgIIUKwAAAAAFKVYAAAAAClKsAAAAABTU7b5uma1TW1uburq6csfYrKamplRXV5c7xibV1NSUO8IW6+5ZR44cmfHjx5c7xmbdcccduf/++8sdo0MPP/xwuSMAAABbSbGyHautrc0ee+6ZdY2N5Y6yeRUVSalU7hSvaP2GDeWOsEnrG55LUpGZM2eWO8pm9R8wIPfde2+3LVdqa2szY8aMNDc3lzvKZq1vWl/uCAAAwBZSrGzH6urqsq6xMXvNnJ2Bo8eWO06HVtb8Lcuv+0UmHHNydhg/udxxOvRixubm7lusNDc+n6TUrddx7dMrUvOTb6eurq7bFit1dXVpbm7OBz/wgYwZM6bccdpZsmRJfn3NNd2++AEAAP4/xUoPMHD02AweN6ncMTq09qkVSZIBo3bq9hm3B915Hbcnb3zjG7P7P+1e7hgd+vU115Q7AgAAsBWcvBYAAACgIMUKAAAAQEGKFQAAAICCFCsAAAAABSlWAAAAAApSrAAAAAAUpFgBAAAAKEixAgAAAFCQYgUAAACgoKpyBwAA6A5qa2tTV1dX7hibVFNTU+4IwDbw29/+tlv/+959990zbdq0cseAbk2xAgD0erW1tdljzz2zrrGx3FFe0foNG8odAegEzz77bJLkS1/6UpmTbF5VVVWWLVuW8ePHlzsKdFuKFQCg16urq8u6xsbsNXN2Bo4eW+44HVpZ87csv+4XaW5WrEBPsGbNmiTJ8ccfnwm77lrmNB178skn84Mf/jB1dXWKFdgMxQoAwP8aOHpsBo+bVO4YHVr71IpyRwC2gTe8fv9MnTq13DE6dP8D9+cHP/xhuWNAt+fktQAAAAAFKVYAAAAAClKsAAAAABSkWAEAAAAoSLECAAAAUJBiBQAAAKAgxQoAAABAQYoVAAAAgIIUKwAAAAAFKVYAAAAACqoqdwAAoOerra1NXV1duWNsUk1NTbkj0MW685/5ihUr0tDQUO4Ym/Twww+XOwJAt6JYAQC2qdra2uyx555Z19hY7iivaP2GDeWOwDa2vuG5JBWZOXNmuaNs99Y3rS93BIBuQbECAGxTdXV1WdfYmL1mzs7A0WPLHadDK2v+luXX/SLNzYqVnq658fkkpUw45uTsMH5yueO0s7J2WZZfcXHec+SR2Xfffcsdp0NLlizJr6+5Js3NzeWOAtAtKFYAgC4xcPTYDB43qdwxOrT2qRXljkAXGzBqp27593Ft49okyb777puD33FwmdNs2q+vuabcEQC6DSevBQAAAChIsQIAAABQkGIFAAAAoCDFCgAAAEBBihUAAACAghQrAAAAAAUpVgAAAAAKUqwAAAAAFKRYAQAAACioqtwBgJ6lpqam3BE2qTtnAwAAtk+KFaBTrG94LklFZs6cWe4or6Aizz77bLlDAAAAPYRiBegUzY3PJyllwjEnZ4fxk8sdp0Mra5dl+RUXZ82aNeWOAgAA9BCKFaBTDRi1UwaPm1TuGB1a27i23BEAAIAexslrAQAAAApSrAAAAAAUpFgBAAAAKEixAgAAAFCQYgUAAACgoG5XrCxZsiTTpk3L8OHDM2fOnJRKpXJHAgAAAOhQtypWmpqacuSRR2b//ffPokWLsnTp0syfP7/csQAAAAA61K2Kleuuuy719fU599xzM3ny5MydOzeXXHJJuWMBAAAAdKhbFSuLFy/O9OnTM3DgwCTJlClTsnTp0jKnAgAAAOhYVbkDvFRDQ0MmTpzYer2ioiKVlZVZtWpVhg8f3mbfpqamNDU1tV6vr69vfYzO9Pe//z01NTWd+pid5ZFHHkmSPLOsJqvrV5U5TcfqH3s4SbLq4fvTsr7pFfYuDxk7x/aQsWHFC/9mamtrs/jvi8ucpr3a2tokyYPLlqWiT0WZ03RMxs7x2GOPJUnWrFnTqXNr8ODBqajY+ue8rWfqmjVrkphXr5aMnaO7Z+zusyrZPn7Pytg5XpxXV155Ze68884yp+nYXnvtlSlTpnT64xadqfROFaVudHbYz33uc9mwYUPOPffc1m3jxo3LwoULM3bs2Db7nnnmmTnrrLO6OiIAdFv19fUZMmTIVt/PTAWAtorOVHqnblWsfOMb38iSJUvy4x//uHXbsGHD8sADD2TUqFFt9n35u2sbN27Ms88+mx122KFds9jQ0JBx48bl0Ucf9Y/jf1mT9qxJe9akPWvSMevSXjnWpLOOWDFTt441ac+atGdN2rMm7VmTjm1PM5XeqVt9FGjatGn5/ve/33p9+fLlaWpqyogRI9rtW11dnerq6jbbhg0bttnHHzJkiF9QL2NN2rMm7VmT9qxJx6xLe9vDmpipncOatGdN2rMm7VmT9qxJx6wL3VW3OnntAQcckPr6+lx66aVJkrPPPjsHH3xwKisry5wMAAAAoL1udcRKVVVVLrroohx//PGZM2dOWlpacsstt5Q7FgAAAECHulWxkiRHHXVUHnjggSxatCgzZsxod26VIqqrq/PlL3+53WHOvZk1ac+atGdN2rMmHbMu7fXUNempz+vVsCbtWZP2rEl71qQ9a9Ix60J3161OXgsAAACwPelW51gBAAAA2J4oVgAAAAAKUqwAAAAAFKRYAQAAAChIsQIAAABQkGIFAAAAoCDFCgAAAEBBihUAAACAghQrAAAAAAUpVgAAAAAKUqwAAAAAFKRYAQAAAChIsQIAAABQkGIFAAAAoCDFCgAAAEBBihWg05155pk56aSTyh0DALYL5ibA9k2xQq90zz335K9//Wvh+2/YsCEbN27sxEQkyVNPPZV169aVOwYAL2Nudk/mJkD3oFihVzr//PPzP//zP1u075/+9Ke89rWvbbPtK1/5Sj772c9ui2i92iGHHJIbbrih3fYPf/jDOfPMMzu8z4wZM1JZWZmqqqpUVVWlT58+7f5sGhoaUlFRkQ0bNmyL2AA9nrnZPZmbAN2DYoVe46qrrsqkSZOy77775pe//GWuvPLK7Lvvvq2XCRMmdPjiZMCAAenfv3+bbStXrszYsWO7KnpOOumkVFRUpLq6Ovvuu29+8IMfdNnP7krV1dWta11fX59JkyZl3bp1GTBgQPr169fhfaqqqnLttdemubk5zc3N+cIXvpC+ffsmSY499thceOGFrfd9cXtnW758eSoqKnLMMcckSZ5//vn06dMnb3vb29rsN378+MydO7fNtoqKitx9990dPm5FRUW7y6JFi7bFUwBox9zs/rbXuZl0PONmzpy5ydsWLVqU+fPnp6KiIt/5zneSJL/97W9TUVHRpkR66KGHUlFRkdtuu611280335xhw4Z1mOPmm29u97MGDRq0zZ430DMpVug1Wlpa8sY3vjFLlizJ1772tdx5551ZsmRJ66Vfv34ZMWJE6/7r1q3L6tWrU1lZmcrKymzcuDF1dXVJkrq6upx11lkZM2ZMxowZk5EjR2b33XffpvlPOeWU3HfffTn55JNz6qmn5ic/+ck2/XldacOGDWlpaUmfPn2yePHi3HHHHVmyZEkGDhyY/v37p7KyMn36vPDrqrm5uc3h5BUVFe0e78VtFRUVm3xhuS3cc889SZKlS5emVCq1ua2mpiaPPvporr/++q16zD/+8Y9ZtWpV62W//fbrtLwAm2Nudl89ZW6+fMZddNFFm7ztpfPvxXn74v++1O9///sk2ap5O2TIkDY/a8WKFUWfEtBLKVboNV58gZEkN954Y973vve1vtAolUp54oknsuuuu7bu89Of/jQf+tCHWq8//vjj2XHHHZMkTz/9dP7whz/kySefzJNPPpm6urrce++9r5hh5MiRGTZsWLvLpo5YeKnq6upMmDAhn/zkJ3Paaaflm9/85pY+9W7vV7/6VY4//vgkL7zT9PWvfz133XVXHnrooYwcOTIXXnhhvvrVr2bkyJEZMWJEFi5c2Hrf5ubmfPCDH8xuu+2W3XbbLd/73vdaD11+8Z2nLXX55Zd3+OczY8aMLbr/ww8/nPXr12fJkiWprKxsc9v111+fAw88MH/5y1/y/PPPb3GmwYMHt8ny8scF2FbMze6rp8zNl8+4gQMHbvK2F+dfZWVla6GyqXn7tre9bauKlYqKijY/a+jQoVt8X4BEsUIv8tIXiPPnz8+KFSty00035Re/+EWOOeaYjBgxos07by8/lPmlh9uuWLEiu+yyyyYff1PuvPPO3H333e0ue++991Y9l0MPPTSLFy/O+vXrkyQTJkzIH/7wh3zhC1/ImDFjsnjx4tZ9L7300vzTP/1TRo4cmS984QttjqT48pe/nB133DHDhg3LBz/4wbS0tLR+rOUzn/lMRo8ene985zvZe++9s88++2TNmjVblXNLLVu2LLvttluS5Igjjsj999+f3/zmN7n44otTV1eXWbNm5Utf+lLq6urS0NDQ5gXbFVdckdtuuy0DBw7M+eefn7vuuiuf//znC+V497vf3eGfzxVXXLFF9586dWruu+++3HPPPZk2bVqb2xYsWJCjjjoq48aNyx//+MdC+QC6krlpbr6SVzs3i3j961+fmpqaJGk3b1taWnLjjTfmM5/5TG6//fY0NDRssxwAL1VV7gDQVV56GGx1dXX+8pe/ZPDgwVm0aFH++Z//ud25L/r06dPmRd+L7+KUSqWsWLEiZ511Vpt3SSoqKvKtb31rsy8UX/rO3qux0047paWlJc8++2zGjBmTJPnSl76UPfbYI5dddlkmT56cJLn11ltz8skn58orr8yuu+6aww47LHvvvXdmzpyZ3/zmN/nmN7+ZW265JUOGDMkhhxySK664Im9605tasx5yyCE588wz8/vf/z4HHXRQFi9enDe/+c2d8hxeavHixXn3u9+dG264If3798/vfve77Lvvvrn88ss3e7/GxsYMGTIklZWVefDBB7Prrru2rkeRb594zWtek9e85jWFnkOSTJkyJffcc0+WLFmSKVOm5L777kvywiHbt9xyS770pS/lrrvuyvXXX5/DDjtsix7zrW99a+vfs7Fjx3Z42DPAtmBumpuv5NXOzZfOuFNPPTXz5s3r8LaXzr+BAwdm+PDhefzxx7N8+fIcfvjhrfe5/fbb09zcnEMPPTQ77bRTbr755rznPe95xRz19fVtzsHyf//v/82FF15Y+HkBvY9ihV6jb9++WbRoUes7PC93wQUXpKGhIYceemguvfTSTT5OS0tLrrzyynbbjjnmmHz729/u1Myb8uJhui99F23o0KGZP39+m/1+9KMf5eijj8673/3uJMnMmTPz61//OjNnzsxBBx2URx55JC0tLfnLX/6SysrK3H///a0vEE8++eSsXLkyBx98cPbff/+MGDFim307wJvf/Oa8+c1vbj0Z3ciRI/OrX/0q/fr1a/McS6VS1q9fn+rq6iQvvHP4ve99L5WVlWlsbMwb3/jGJMmaNWty0003bZOsm/NisbJ06dIcccQRrcXKbbfdlg0bNmS//fbLjBkzWp/nlvjFL37R+s5sVZVf2UDXMTfNzW3tpTNuyJAhm7zt5fNvypQpueaaazJx4sQ2xdz111+fadOmpbKyMjNmzMiCBQu2qFgZPHhwm4+XOXktsLW8SqdXWL58eQ488MA8+OCDuf/++3Pqqae2fpPBY489lgEDBmSHHXbIf//3f+fhhx/e7GNVVVXl0EMPbbPtueee26LP444cOTLNzc3ttt98882ZOnXqFj+fp556KlVVVdlhhx1at82ePbvdfi8etv3iuzDr16/PlClTkrxwIsF/+7d/y5IlS/LGN74xAwcOTEtLS+t9Xzx8++Xf7LAtfPzjH29zfeDAgdl1112zww47ZMCAAVm7dm369OmT//qv/8ratWtTV1eX17zmNfnP//zP/Od//mfuvffezJgxI88++2yS5E1velP69euXjRs3tnlOr+Tyyy/PRz7ykXbb99577zbfLrApU6ZMyVlnnZV+/fq1eVG2YMGCrF+/PqNHj05zc3Oef/75PP7449l5551f8TF33nnnTJgwYYufA0BnMDeHJTE3X8mrnZubm3Gbu23KlCm5/PLLM2XKlDZ5FyxYkDvuuCPDhg3LunXrtviIpz59+pi1wKuiWKFX+MhHPpLZs2fnyCOPzMaNG7Ns2bLW27785S9n//33z0c/+tHU19dn+PDhHT7Giycc/dWvfpVvfOMbrYenNjc35/3vf/8mv8bvpe6888523xaTZIv+A/ulFixYkP3337/Nmfs7OhR3l112ySmnnJJPfepTSV74SMqLh/q++Dnxm266KRUVFTn22GO3KsO2Nnny5KxduzZJ8qlPfSpjxozZ5GfAb7jhhjafsX7xqyabmpqybt26Lf6ZL35W/OW29BsSpkyZkhtvvDFHHXVUm+3XX399/v3f/z0f+9jHkrzwAvYPf/hDTjzxxC3OBtCVzM1PJTE3X8mrnZtFTZkyJV/+8pdz3nnn5W9/+1uSpKGhIX/961/z85//PPvvv38efvjhvP3tb09tbe02zQKQKFboJfr27Zuqqqps2LAh69atS0tLS2pra7Nhw4Y8//zz6du3b5IXPmM7ceLEJC+8S/XHP/4xNTU1Wbp0aQ4//PA0Nzfn7W9/e17/+te3Hnra0tKSJ598coveeXs1nxVvamrKI488kt/85jc555xz8vOf//wV73PiiSfmxBNPzHHHHZeRI0fmjDPOyMaNG3PFFVe0nlDvySefzP/8z//kyiuvzF577VU4X7k88sgj+drXvpbvfve7rdvWrVuXgQMH5uqrr269viVe7WfFhw0blnHjxrW+u5kkzz77bO68885885vfbH037O1vf3uuv/761mLl6aefzmOPPdZ6n0GDBrX+B8fq1avz3HPPtd42YMCA1kO6AbYVc9Pc3BKvdm5uTkfz70UvztkpU6a0Fis33nhj+vXrlyOPPDL9+vXLhAkTstNOO+X666/P5MmTUyqV2szaJK1HMJVKpTY/K3nh40G+iQ/YUooVeoVhw4bl4x//ePr165fq6urstNNOOf7449OvX7888MADOfDAA5MkK1euzBve8IYkyfTp03PhhRdmjz32yLhx47Jy5cqMGjUqgwcPbvc54Pvuu6/NNyNsCxdccEF+8IMfZN99983PfvazLfrM8Fvf+taceeaZef/7358nn3wy73jHO3LRRRcleeGkfTNnzsyee+6Zd77znTnuuOPyt7/9LR/4wAe26fPYnObm5jQ3N2fjxo1pampK//79233t44v79O/fPzfddFNOOumkHH744fk//+f/5Pbbb8+tt96axx57LKNHj06SLFy4MAsXLmzzFY7b0ute97pMmTIlq1evTvLCu4IDBgxo/Rx7krzzne/MGWec0fou7Lve9a42jzFr1qxccMEFSZIDDjigzW1f/epX88UvfnFbPgUAc9Pc7LK5uSkdzb8Xv1lq4sSJGTJkSJs3Mq6//vq85S1vaXO0zMEHH5wFCxbk1FNPTUNDQ8aNG9fmMS+77LKMGTMmDQ0N7Y68uvXWW/OWt7yls58W0ENVlDo6vhJ6kXvvvTe33npr7r///vzwhz/MjTfe2GZQb86GDRvy9re/Pffcc08+//nP57Of/ew2Trt9OPPMM7N8+fJ2JwV8Ja973evy9a9/PbvttlsOOuigDBgwoN23RWzYsCEzZszIZZddllNOOSWDBg3Kf/3Xf6WioiK/+93vcu6552bWrFn5l3/5lyTJGWeckWuuuSYf+MAH8ulPf7qzniJAr2Vudj5zE2D7pliBvPDuzK9//eu8/e1vz8EHH7xV973lllsyZsyY7LHHHtso3fan6AtEALYP5mbnMjcBtm+KFQAAAICC+rzyLgAAAAB0RLECAAAAUJBiBQAAAKAgxQoAAABAQT2mWCmVSmloaIhz8QLAq2OmAgBsuR5TrKxevTpDhw7N6tWryx0FALZrZioAwJbrMcUKAAAAQFdTrAAAAAAUpFgBAAAAKEixAgAAAFCQYgUAAACgIMUKAAAAQEGKFQAAAICCFCsAAAAABSlWAAAAAApSrAAAAAAUpFgBAAAAKEixAgAAAFCQYgUAAACgIMUKAAAAQEGKFQAAAICCFCsAAAAABSlWAAAAAApSrAAAAAAUpFgBAAAAKEixAgAAAFCQYgUAAACgIMUKAAAAQEGKFQAAAICCFCsAAAAABSlWAAAAAApSrAAAAAAUpFgBAAAAKEixAgAAAFCQYgUAAACgIMUKAAAAQEGKFQAAAICCFCsAAAAABSlWAAAAAApSrAAAAAAUpFgBAAAAKEixAgAAAFCQYgUAAACgIMUKAAAAQEGKFQAAAICCFCsAAAAABSlWAAAAAAoqW7GycuXK3HbbbamrqytXBAAAAIBXpSzFys9//vPstttu+djHPpbx48fn5z//eZJkyZIlmTZtWoYPH545c+akVCqVIx4AAADAFunyYuW5557L7Nmzc+utt+Zvf/tbLrzwwnzuc59LU1NTjjzyyOy///5ZtGhRli5dmvnz53d1PAAAAIAt1uXFyurVq3Peeedl3333TZK87nWvy6pVq3Ldddelvr4+5557biZPnpy5c+fmkksu6ep4AAAAAFusolTGz9ts2LAhH/rQh9KnT59MnDgxt99+e377298mSUqlUnbYYYc8++yzHd63qakpTU1NrdcbGhoybty41NfXZ8iQIV2SHwB6AjMVAKC4sp28dvHixdlxxx2zYMGCnHfeeWloaMjEiRNbb6+oqEhlZWVWrVrV4f3nzZuXoUOHtl7GjRvXVdEBoEcxUwEAiivbESulUil33313PvOZz2TIkCHZfffds2HDhpx77rmt+4wbNy4LFy7M2LFj293fu2sA0DnMVACA4qrK9YMrKiqy3377Zf78+dl1110zb968LFmypM0+q1evTr9+/Tq8f3V1daqrq7siKgD0aGYqAEBxXf5RoBtvvDFz5sxpvV5V9UK3s+eee2bhwoWt25cvX56mpqaMGDGiqyMCAAAAbJEuL1b23HPPXHjhhbnooovy6KOP5vOf/3wOOeSQvPvd7059fX0uvfTSJMnZZ5+dgw8+OJWVlV0dEQAAAGCLdHmxsvPOO+eXv/xlzjvvvOyzzz5Zu3ZtfvzjH6eqqioXXXRRTjnllOy444654oorcvbZZ3d1PAAAAIAtVtavW+7IihUrsmjRosyYMSOjRo3a4vs1NDRk6NChTrQHAK+SmQoAsOXKdvLaTRk7dmyH3wIEAAAA0N10+UeBAAAAAHoKxQoAAABAQYoVAAAAgIIUKwAAAAAFKVYAAAAAClKsAAAAABSkWAEAAAAoSLECAAAAUJBiBQAAAKAgxQoAAABAQYoVAAAAgIIUKwAAAAAFKVYAAAAAClKsAAAAABSkWAEAAAAoSLECAAAAUJBiBQAAAKAgxQoAAABAQYoVAAAAgIIUKwAAAAAFKVYAAAAAClKsAAAAABSkWAEAAAAoSLECAAAAUJBiBQAAAKAgxQoAAABAQYoVAAAAgIIUKwAAAAAFKVYAAAAAClKsAAAAABSkWAEAAAAoSLECAAAAUJBiBQAAAKAgxQoAAABAQYoVAAAAgIIUKwAAAAAFKVYAAAAAClKsAAAAABSkWAEAAAAoSLECAAAAUJBiBQAAAKAgxQoAAABAQYoVAAAAgIIUKwAAAAAFKVYAAAAAClKsAAAAABSkWAEAAAAoSLECAAAAUJBiBQAAAKAgxQoAAABAQYoVAAAAgIIUKwAAAAAFKVYAAAAACipLsXL11Vdn0qRJqaqqypve9KbU1NQkSWbPnp2KiorWy2677VaOeAAAAABbpMuLlWXLluUDH/hAzj777KxYsSK77rprPvzhDydJ7rzzzlx77bVZtWpVVq1alb/97W9dHQ8AAABgi1WUSqVSV/7A3/zmN3nsscdyyimnJEluuummHHrooXn++eczYsSIPP744xk0aNBWP25DQ0OGDh2a+vr6DBkypLNjA0CvYaYCAGy5Lj9i5YgjjmgtVZLkvvvuy2677Za///3vKZVKmTp1agYMGJBDDz00tbW1XR0PAAAAYIuV9eS169evzznnnJOPfvSjqampyT777JPLLrssS5cuTd++fTNr1qxN3repqSkNDQ1tLgDA1jNTAQCK6/KPAr3UZz/72SxYsCB33HFH+vbt2+a2Rx55JJMmTcqqVas6PAz5zDPPzFlnndVuu8OWAWDrmKkAAMWVrVi5/vrr8y//8i9ZuHBh9t5773a319fXZ9iwYbn33nuzxx57tLu9qakpTU1NrdcbGhoybtw4LwIBYCuZqQAAxVWV44c+9NBDOeGEE3L++ee3liqnnXZapk+fnmOPPTZJcscdd6RPnz4ZN25ch49RXV2d6urqLssMAD2VmQoAUFyXFyuNjY054ogjctRRR+W9731v1qxZkyR53etelzPOOCNjxoxJc3NzZs+enZNOOikDBw7s6ogAAAAAW6TLi5Xf//73qampSU1NTS6++OLW7Q8//HDuvffevPe9783gwYNz9NFHZ+7cuV0dDwAAAGCLlfXktZ2poaEhQ4cO9XlwAHiVzFQAgC1X1q9bBgAAANieKVYAAAAAClKsAAAAABSkWAEAAAAoSLECAAAAUJBiBQAAAKCgqnIHAACg56itrU1dXV25Y2zWyJEjM378+HLHAKCHUKwAANApamtrs8eee2ZdY2O5o2xW/wEDct+99ypXAOgUihUAADpFXV1d1jU2Zq+ZszNw9Nhyx+nQ2qdXpOYn305dXZ1iBYBOoVgBAKBTDRw9NoPHTSp3DADoEk5eCwAAAFCQYgUAAACgIMUKAAAAQEGKFQAAAICCFCsAAAAABSlWAAAAAApSrAAAAAAUpFgBAAAAKEixAgAAAFCQYgUAAACgIMUKAAAAQEGKFQAAAICCFCsAAAAABSlWAAAAAApSrAAAAAAUpFgBAAAAKEixAgAAAFCQYgUAAACgIMUKAAAAQEGKFQAAAICCFCsAAAAABSlWAAAAAApSrAAAAAAUpFgBAAAAKEixAgAAAFCQYgUAAACgIMUKAAAAQEGKFQAAAICCFCsAAAAABSlWAAAAAApSrAAAAAAUpFgBAAAAKEixAgAAAFCQYgUAAACgIMUKAAAAQEGKFQAAAICCFCsAAAAABSlWAAAAAApSrAAAAAAUpFgBAAAAKEixAgAAAFCQYgUAAACgIMUKAAAAQEGKFQAAAICCFCsAAAAABZWlWLn66qszadKkVFVV5U1velNqamqSJEuWLMm0adMyfPjwzJkzJ6VSqRzxAAAAALZIlxcry5Ytywc+8IGcffbZWbFiRXbdddd8+MMfTlNTU4488sjsv//+WbRoUZYuXZr58+d3dTwAAACALdblxUpNTU3mzp2bY489NjvuuGNOPfXULFq0KNddd13q6+tz7rnnZvLkyZk7d24uueSSro4HAAAAsMWquvoHHnHEEW2u33fffdltt92yePHiTJ8+PQMHDkySTJkyJUuXLt3k4zQ1NaWpqan1ekNDw7YJDN1EbW1t6urqyh1js0aOHJnx48eXOwawlcxUAIDiurxYean169fnnHPOyac//ek89NBDmThxYuttFRUVqayszKpVqzJ8+PB29503b17OOuusrowLZVNbW5s99twz6xobyx1ls/oPGJD77r1XuQLbGTMVAKC4shYrX/ziFzNo0KB85CMfyRe/+MVUV1e3ub1///5Zu3Zth8XK6aefntNOO631ekNDQ8aNG7fNM0M51NXVZV1jY/aaOTsDR48td5wOrX16RWp+8u3U1dUpVmA7Y6YCABRXtmLl+uuvzwUXXJCFCxemb9++GTFiRJYsWdJmn9WrV6dfv34d3r+6urpdEQM93cDRYzN43KRyxwB6GDMVAKC4snzd8kMPPZQTTjgh559/fvbee+8kybRp07Jw4cLWfZYvX56mpqaMGDGiHBEBAAAAXlGXFyuNjY054ogjctRRR+W9731v1qxZkzVr1uStb31r6uvrc+mllyZJzj777Bx88MGprKzs6ogAAAAAW6TLPwr0+9//PjU1NampqcnFF1/cuv3hhx/ORRddlOOPPz5z5sxJS0tLbrnllq6OBwAAALDFurxYOeqoo1IqlTq8bcKECXnggQeyaNGizJgxI6NGjeridAAAAABbrqzfCtSRsWPHZuzY7vmtJwAAAAAvVZaT1wIAAAD0BIoVAAAAgIIUKwAAAAAFKVYAAAAAClKsAAAAABTU7b4VCMqhtrY2dXV15Y6xSTU1NeWOAEA3YF4BQPejWKHXq62tzR577pl1jY3ljvKK1m/YUO4IAJSJeQUA3ZNihV6vrq4u6xobs9fM2Rk4emy543RoZc3fsvy6X6S52QtVgN7KvAKA7kmxAv9r4OixGTxuUrljdGjtUyvKHQGAbsK8AoDuxclrAQAAAApSrAAAAAAUpFgBAAAAKEixAgAAAFCQYgUAAACgIMUKAAAAQEGKFQAAAICCFCsAAAAABSlWAAAAAApSrAAAAAAU1CnFSqlUSktLS2c8FAAAAMB2Y6uLlY9+9KNpampqs+3GG2/M3nvv3WmhAAAAALYHW12sXHjhhe2KlX322Se1tbWdFgoAAABge1C1pTteeumlSV742M/PfvazDBw4sPX6H/7wh7zhDW/YNgkBAAAAuqktLlZ++MMfJkkqKiry05/+NFVVL9y1T58+2W233XLZZZdtm4QAAAAA3dQWFys33XRTkheKlGuvvTZDhgzZZqEAAAAAtgdbfY6VWbNmpbq6eltkAQAAANiubPERKy86//zz09TUlEcffTSlUqnNbePHj++0YAAAAADd3VYXK9/5zncyZ86crF+/vk2xUlFRkZaWlk4NBwAAANCdbfVHgf7jP/4j//mf/5l169Zl48aNrRelCgAAANDbbHWxMmTIkLzjHe9I3759t0UeAAAAgO3GVhcr3/72t/ORj3wkS5Ys2RZ5AAAAALYbW32OlU984hNZuXJlXve612X48OFtvnb5oYce6tRwAAAAAN3ZVhcr8+fP3wYxAAAAALY/W12sTJw4cVvkAAAAANjubHWxMmHChFRUVLR+1XJFRUXrbb4ZCAAAAOhNtvrktS9+tfLGjRvz/PPP56abbsrb3va23HDDDdsiHwAAAEC3tdVHrLzUgAEDcsABB+TXv/51DjjggNx5552dlQsAAACg29vqI1Y68vTTT+eJJ57ojIcCAAAA2G4UOnnty8+r8sQTT+RTn/pUZ+YCAAAA6PZe9dctV1RUZJdddsmkSZM6KxMAAADAdmGrPwp04IEH5sADD8yAAQNSV1eXAQMGKFUAAACAXmmrj1hZsWJF3vve9+aBBx7IzjvvnMcffzy77757rr766uy8887bIiMAAABAt7TVR6zMmjUrb3jDG/LMM8+kpqYmTz31VF7/+tfn5JNP3hb5AAAAALqtrT5i5U9/+lP+8Y9/pF+/fkmS/v3754wzzsiUKVM6PRwAAABAd7bVR6y89rWvzY9+9KM22370ox9l33337bRQAAAAANuDrT5i5YILLsghhxySn/70p5k4cWIeeuihrF69OgsWLNgW+QAAAAC6rS0uVpqamnLjjTdm6NChuf/++3PNNdfk/vvvz/vf//4cccQRGTx48LbMCQAAANDtbNFHge68885MmjQpH/3oR3PbbbflNa95TY477rj8/ve/z7//+79n8uTJueuuu7Z1VgAAAIBuZYuOWJk1a1a++MUv5tRTT22z/c9//nOS5Gtf+1pmzZqVO+64o/MTAgAAAHRTW3TEyr333ptDDjlkk7efcMIJWbp0aaeFAgAAANgebFGxcuihh+YTn/hEnn766Xa3rVmzJmeccUbe9ra3dXY2AAAAgG5tiz4KdMkll+Skk07KzjvvnEmTJmXHHXdMZWVlVq1alfvvvz/77LNPrrnmmm2dFQAAAKBb2aJiZejQobnqqquyfPny/PnPf86KFSuyYcOGDBs2LPvtt19mzJixrXMCAAAAdDtb/HXLSTJhwoRMmDChU37wypUr84Y3vCE33XRT62POnj073/nOd1r3mTx5ch588MFO+XkAAAAAnW2ripXOUldXlyOPPDLLly9vs/3OO+/Mtdde23oETGVlZRnSAQAAAGyZLTp5bWc77rjjctxxx7XZ1tzcnCVLluSAAw7IsGHDMmzYsAwePLgc8QAAAAC2SFmKlYsuuiif/OQn22z7+9//nlKplKlTp2bAgAE59NBDU1tbW454AAAAAFukLMXKpEmT2m2rqanJPvvsk8suuyxLly5N3759M2vWrE0+RlNTUxoaGtpcAICtZ6YCABRXlmKlIyeccEIWLlyYadOmZeLEifnOd76TBQsWbPLF3bx58zJ06NDWy7hx47o4MQD0DGYqAEBx3aZYeblhw4Zl48aNeeKJJzq8/fTTT099fX3r5dFHH+3ihADQM5ipAADFleVbgTpy2mmnZfr06Tn22GOTJHfccUf69OmzyXfNqqurU11d3ZURAaBHMlMBAIrrNsXK1KlTc8YZZ2TMmDFpbm7O7Nmzc9JJJ2XgwIHljgYAAADQoW5TrJx44ompqanJe9/73gwePDhHH3105s6dW+5YAAAAAJtU1mKlVCq1uT5v3rzMmzevTGkAAAAAtk63PXktAAAAQHenWAEAAAAoSLECAAAAUJBiBQAAAKAgxQoAAABAQYoVAAAAgILK+nXLwNapf2x5uSNsUuMzT5Q7AgDdhHkFQG+iWIHtwMa+/ZJU5PFrLs3j5Q6zORUVaWpqKncKAMrEvAKgN1KswHagz4DXJCnl6N33yWtH71zuOB16Yk19Lr77r6muri53FADKxLwCoDdSrMB25LWjd84hk3Yvd4wO3bfymVx891/LHQOAbsC8AqA3cfJaAAAAgIIUKwAAAAAFKVYAAAAAClKsAAAAABSkWAEAAAAoSLECAAAAUJBiBQAAAKAgxQoAAABAQYoVAAAAgIIUKwAAAAAFKVYAAAAAClKsAAAAABSkWAEAAAAoSLECAAAAUJBiBQAAAKAgxQoAAABAQYoVAAAAgIIUKwAAAAAFKVYAAAAAClKsAAAAABSkWAEAAAAoSLECAAAAUJBiBQAAAKAgxQoAAABAQYoVAAAAgIIUKwAAAAAFKVYAAAAAClKsAAAAABSkWAEAAAAoSLECAAAAUJBiBQAAAKAgxQoAAABAQYoVAAAAgIIUKwAAAAAFKVYAAAAAClKsAAAAABSkWAEAAAAoSLECAAAAUJBiBQAAAKAgxQoAAABAQYoVAAAAgIIUKwAAAAAFKVYAAAAAClKsAAAAABSkWAEAAAAoqGzFysqVKzNx4sQsX768dduSJUsybdq0DB8+PHPmzEmpVCpXPAAAAIBXVJZipa6uLkcccUSbUqWpqSlHHnlk9t9//yxatChLly7N/PnzyxEPAAAAYIuUpVg57rjjctxxx7XZdt1116W+vj7nnntuJk+enLlz5+aSSy4pRzwAAACALVKWYuWiiy7KJz/5yTbbFi9enOnTp2fgwIFJkilTpmTp0qXliAcAAACwRarK8UMnTZrUbltDQ0MmTpzYer2ioiKVlZVZtWpVhg8f3m7/pqamNDU1tbk/ALD1zFQAgOK6zbcCVVVVpbq6us22/v37Z+3atR3uP2/evAwdOrT1Mm7cuK6ICQA9jpkKAFBctylWRowYkWeeeabNttWrV6dfv34d7n/66aenvr6+9fLoo492RUwA6HHMVACA4sryUaCOTJs2Ld///vdbry9fvjxNTU0ZMWJEh/tXV1e3O8IFANh6ZioAQHHd5oiVAw44IPX19bn00kuTJGeffXYOPvjgVFZWljkZAAAAQMe6zRErVVVVueiii3L88cdnzpw5aWlpyS233FLuWAAAAACbVNZipVQqtbl+1FFH5YEHHsiiRYsyY8aMjBo1qkzJAAAAAF5Ztzli5UVjx47N2LFjyx0DAAAA4BV1m3OsAAAAAGxvFCsAAAAABSlWAAAAAApSrAAAAAAUpFgBAAAAKKjbfSsQsH2rqakpd4TNGjlyZMaPH1/uGAAAQA+hWAE6xcrG55NUZObMmeWOsln9BwzIfffeq1wBAAA6hWIF6BRr1q9PUsqEY07ODuMnlztOh9Y+vSI1P/l26urqFCsAAECnUKwAnWrAqJ0yeNykcscAAADoEk5eCwAAAFCQYgUAAACgIMUKAAAAQEGKFQAAAICCFCsAAAAABSlWAAAAAApSrAAAAAAUpFgBAAAAKEixAgAAAFBQVbkDAD1L/WPLyx1hkxqfeaLcEYBurLa2NnV1deWOsUk1NTVJkpW1y7K2cW2Z03SsO8+Al/vtb3/buqbdze67755p06aVOwYAW0ixAnSKDRtbklTk8WsuzePlDrM5FRVpamoqdwqgm6mtrc0ee+6ZdY2N5Y7yCiqy/IqLyx3iFVSkOhXlDrFJKxufT5J86UtfKnOSTauqqsqyZcsyfvz4ckcBYAsoVoBO0bdPZZJSTtxrv0zYYWS543ToiTX1ufjuv6a6urrcUYBupq6uLusaG7PXzNkZOHpsueN0aGXtsiy/4uIcvfs+ee3oncsdp0P/ePrxXHX/PRnSt1+5o2zSmvXrk6TbzqsXZ1VdXZ1iBWA7oVgBOtW0MWOz37hdyx2jQ/etfCYX3/3XcscAurGBo8dm8LhJ5Y7RoRc//vPa0TvnkEm7lznNpl11/z3ljrBFuuu8MqsAtj9OXgsAAABQkGIFAAAAoCDFCgAAAEBBihUAAACAghQrAAAAAAUpVgAAAAAKUqwAAAAAFKRYAQAAAChIsQIAAABQUFW5A9Dz1dbWpq6urtwxNqmmpiZJsrJ2WdY2ri1zmo7VP7a83BEAAADogGKFbaq2tjZ77Lln1jU2ljvKK6jI8isuLneIV1CR6lSUOwQAAAAvoVhhm6qrq8u6xsbsNXN2Bo4eW+44HVpZuyzLr7g4R+++T147eudyx+nQP55+PFfdf0+G9O1X7igAAAC8hGKFLjFw9NgMHjep3DE69OLHf147euccMmn3MqfZtKvuv6fcEQAAAHgZJ68FAAAAKEixAgAAAFCQYgUAAACgIMUKAAAAQEGKFQAAAICCFCsAAAAABSlWAAAAAApSrAAAAAAUpFgBAAAAKEixAgAAAFCQYgUAAACgIMUKAAAAQEGKFQAAAICCFCsAAAAABSlWAAAAAApSrAAAAAAUpFgBAAAAKEixAgAAAFBQtytWZs+enYqKitbLbrvtVu5IAAAAAB2qKneAl7vzzjtz7bXXZsaMGUmSysrKMicCAAAA6Fi3Klaam5uzZMmSHHDAARk0aFC54wAAAABsVrf6KNDf//73lEqlTJ06NQMGDMihhx6a2tracscCAAAA6FC3OmKlpqYm++yzT7797W9n5MiR+cQnPpFZs2bluuuua7dvU1NTmpqaWq83NDR0ZVRgO1ZTU1PuCJs0cuTIjB8/vtwx6GXMVACA4rpVsXLCCSfkhBNOaL3+ne98J5MmTUpDQ0OGDBnSZt958+blrLPO6uqIwHZsZePzSSoyc+bMckfZpP4DBuS+e+9VrtClzFQAgOK6VbHycsOGDcvGjRvzxBNPtCtWTj/99Jx22mmt1xsaGjJu3LiujghsR9asX5+klAnHnJwdxk8ud5x21j69IjU/+Xbq6uoUK3QpMxUAoLhuVaycdtppmT59eo499tgkyR133JE+ffp0+OKuuro61dXVXR0R6AEGjNopg8dNKncM6DbMVACA4rpVsTJ16tScccYZGTNmTJqbmzN79uycdNJJGThwYLmjAQAAALTTrYqVE088MTU1NXnve9+bwYMH5+ijj87cuXPLHQsAAACgQ92qWEleOIHevHnzyh0DAAAA4BX1KXcAAAAAgO2VYgUAAACgIMUKAAAAQEGKFQAAAICCFCsAAAAABSlWAAAAAArqdl+3DLCt1T+2vNwROtT4zBPljgAAAGwlxQrQa2zY2JKkIo9fc2keL3eYTamoSFNTU7lTAAAAW0ixAvQafftUJinlxL32y4QdRpY7TjtPrKnPxXf/NdXV1eWOAgAAbCHFCtDrTBszNvuN27XcMdq5b+Uzufjuv5Y7BgAAsBWcvBYAAACgIMUKAAAAQEGKFQAAAICCFCsAAAAABSlWAAAAAApSrAAAAAAUpFgBAAAAKEixAgAAAFCQYgUAAACgoKpyBwAA6C5W1i7L2sa15Y7RofrHlpc7AgDQAcUKANDrNTU1JRUVWX7FxeWO8goqUp2KcocAAF5CsQIA9HrV1dVJqZSTp74xOw0aWu44HfrH04/nqvvvyZC+/codBQB4CcUKAMD/mj52QvbYYVS5Y2zSVfffU+4IAMDLOHktAAAAQEGKFQAAAICCFCsAAAAABSlWAAAAAApSrAAAAAAUpFgBAAAAKEixAgAAAFCQYgUAAACgIMUKAAAAQEFV5Q7Aq1NbW5u6urpyx9ikmpqackcAANjudPfXUCNHjsz48ePLHQOgW1CsbMdqa2uzx557Zl1jY7mjvKL1GzaUOwIAQLe3svH5JBWZOXNmuaNsVv8BA3LfvfcqVwCiWNmu1dXVZV1jY/aaOTsDR48td5wOraz5W5Zf94s0NytWAABeyZr165OUMuGYk7PD+MnljtOhtU+vSM1Pvp26ujrFCkAUKz3CwNFjM3jcpHLH6NDap1aUOwIAwHZnwKiduu3rOwDacvJaAAAAgIIUKwAAAAAFKVYAAAAAClKsAAAAABSkWAEAAAAoSLECAAAAUJBiBQAAAKAgxQoAAABAQYoVAAAAgIIUKwAAAAAFVZU7AL1D/WPLyx1hk7pzNgCgd+rOr08an3mi3BEAuhXFCtvUxr79klTk8WsuzePlDrNZFalORblDAAC93IaNLdkuXjtVVKSpqancKQC6BcUK21SfAa9JUsrRu++T147eudxxOvSPpx/PVfffkyF9+5U7CgDQy/XtU5mklBP32i8TdhhZ7jgdemJNfS6++6+prq4udxSAbkGxQpd47eidc8ik3csdY5Ouuv+eckcAAGg1bczY7Ddu13LH6NB9K5/JxXf/tdwxALoNJ68FAAAAKEixAgAAAFCQYgUAAACgIMUKAAAAQEGKFQAAAICCul2xsmTJkkybNi3Dhw/PnDlzUiqVyh0JAAAAoEPdqlhpamrKkUcemf333z+LFi3K0qVLM3/+/HLHAgAAAOhQtypWrrvuutTX1+fcc8/N5MmTM3fu3FxyySXljgUAAADQoW5VrCxevDjTp0/PwIEDkyRTpkzJ0qVLy5wKAAAAoGNV5Q7wUg0NDZk4cWLr9YqKilRWVmbVqlUZPnx4m32bmprS1NTUer2+vr71MTrT3//+99TU1HTqY3aWRx55JEnyzLKarK5fVeY0HWtY8ULGR+qfzd1PPl7mNB17pP7ZJMmDz61MRd++ZU7TMRk7R3fP+GjDC/+Or7zyytx5551lTrNplZWVaWlpKXeMzdoeMu61116ZMmVKpz7m4MGDU1FRsdX364qZ2p3nafL/Z+r9K59O44YNZU7Tse7+OyyRsTN093yJedWZZHz1tsU8TYrPVHqnilI3Ojvs5z73uWzYsCHnnntu67Zx48Zl4cKFGTt2bJt9zzzzzJx11lldHREAuq36+voMGTJkq+9npgJAW0VnKr1TtypWvvGNb2TJkiX58Y9/3Lpt2LBheeCBBzJq1Kg2+7783bWNGzfm2WefzQ477NCuWWxoaMi4cePy6KOP+sfxv6xJe9akPWvSnjXpmHVprxxr0llHrJipW8eatGdN2rMm7VmT9qxJx7anmUrv1K0+CjRt2rR8//vfb72+fPnyNDU1ZcSIEe32ra6uTnV1dZttw4YN2+zjDxkyxC+ol7Em7VmT9qxJe9akY9alve1hTczUzmFN2rMm7VmT9qxJe9akY9aF7qpbnbz2gAMOSH19fS699NIkydlnn52DDz44lZWVZU4GAAAA0F63OmKlqqoqF110UY4//vjMmTMnLS0tueWWW8odCwAAAKBD3apYSZKjjjoqDzzwQBYtWpQZM2a0O7dKEdXV1fnyl7/c7jDn3syatGdN2rMm7VmTjlmX9nrqmvTU5/VqWJP2rEl71qQ9a9KeNemYdaG761YnrwUAAADYnnSrc6wAAAAAbE8UKwAAAAAFKVYAoJOtXLkyt912W+rq6sodBQC2W+Yp24seU6ysXLkyEydOzPLly5Mk8+fPT0VFRbvL/PnzkyRLlizJtGnTMnz48MyZMyc98VQzL1+TJPnxj3+c8ePHZ9CgQTn44IPb3NZb1+SHP/xh9t133wwbNiz/+q//2uYXd09fk6uvvjqTJk1KVVVV3vSmN6WmpibJ5p93b12TpOO/P0nPX5Nk0+uyufXq6euyqef+85//PLvttls+9rGPZfz48fn5z3/eep/tYU3M0/bM046ZqW2Zqe2Zqe2Zp+311HlKL1PqAZ555pnS9OnTS0lKDz/8cKlUKpWamppKq1atar08+uijpZEjR5aWLVtWWrduXWnChAmlWbNmlR588MHS4YcfXvrBD35Q3ifRyTpakwcffLA0bty40p133ll65JFHSh/84AdLBx54YKlUKvXaNbn++utLgwYNKi1YsKC0fPny0uGHH156y1veUiqVev6aPPjgg6Xhw4eXfvGLX5SefPLJ0vve977SjBkzNvu8e+ualEod//0plXr+mpRKm16Xza1XT1+XTT33VatWlUaOHFn6xz/+USqVSqVLL720NH78+FKptH2siXnannnaMTO1LTO1PTO1PfO0vZ46T+l9ekSx8o53vKN03nnntfvl/FJf//rXSx/5yEdKpVKpdNVVV5WGDx9eev7550ulUql09913l9785jd3Vdwu0dGa/PKXvyy9733va93n1ltvLe20006lUqn3rsn73//+0qc+9anWfe65555SklJdXV2PX5NrrrmmdP7557dev/HGG0v9+vXb7PPurWtSKm3690xPX5NSadPrsrn16unrsqnnXltbW/rJT37Sun3x4sWlwYMHl0ql7WNNzNP2zNOOmaltmantmantmaft9dR5Su/TI4qVZcuWlUql0iZfCDY2NpZGjx7detuZZ55ZOuyww1pv37hxY2n48OFdEbXLdLQm99xzT2mHHXYo3XXXXaXnnnuudNxxx5VOPPHEUqnUe9fksMMOK5177rmt+9x7772lJKXnnnuuV6zJS51//vmlvffee7PPu7euSam06d8zvW1NSqW267Kp7b1tXTpak/Xr15fe//73l/7t3/6tVCptH2tinrZnnnbMTN08M7U9M7U987S9njJP6X16xDlWJk2atNnbf/azn2X69OmZMGFCkqShoSETJ05svb2ioiKVlZVZtWrVtozZpTpak7333jvHHHNMXv/612fYsGG5/fbbc8455yTpvWsyderU/PrXv279XOYPf/jDvPGNb8zQoUN7xZq8aP369TnnnHPy0Y9+dLPPu7euSbLp3zO9aU2S9uuyqe29aV06WpPFixdnxx13zIIFC3Leeecl2T7WxDxtzzztmJm6aWZqe2Zqe+Zpez1pntL79Ihi5ZVccMEFOeWUU1qvV1VVpbq6us0+/fv3z9q1a7s6WpdauHBhrrnmmtx+++1ZvXp1/vVf/zWHH354SqVSr12Tz3zmM1m/fn3233//zJgxI9/4xjfy8Y9/PEnv+nvyxS9+MYMGDcpHPvKRzT7v3romm9Ob1iTZ9Lq8fHtvWpeO1mTKlCm54YYbss8+++QDH/hAkp6xJubpC8zTjpmpLzBT2zNT2zNP2+tN85Sep8cXKw8++GAefPDBHHzwwa3bRowYkWeeeabNfqtXr06/fv26Ol6X+sUvfpHjjjsub3zjGzNo0KB87Wtfy0MPPZTFixf32jUZMWJE/vznP+fyyy/PlClTsueee+b4449vva03rMn111+fCy64ID/72c/St2/fzT7v3romm9Nb1iTZ9Lp0tL23rMum1qSioiL77bdf5s+fn6uvvjqrVq3a7tfEPP3/zNOOmalmakfM1PbM0/Z60zylZ+rxxcrll1+eI444os0/0GnTpmXhwoWt15cvX56mpqaMGDGiHBG7THNzc5566qnW66tXr87zzz+flpaWXrsmL9p5551z5ZVXZt68eamsrEzSO/6ePPTQQznhhBNy/vnnZ++9906y+efdW9dkc3rDmiSbXpdNbe8N69LRc7/xxhszZ86c1n2qqqqSJH369Nnu18Q8/f/M080zU83UF5mp7Zmn7fW2eUoPVd5TvHSudHCyvbe+9a3tvn5rw4YNpVGjRpV+9KMflUqlUmnWrFmlI444oqtidqmXrslll11WGjBgQOncc88t/fSnPy0ddNBBpfHjx5fWr1/fa9fkRWeffXbprW99a5ttPX1N1q5dW9prr71KJ598cmn16tWtl/Xr12/yeffWNdm4cWPrPi//+9PT16RU2vS6bG69evq6bOq5P/bYY6XBgweXLrzwwlJtbW3pxBNPLL3rXe8qlUrb198V87Q987RjZuoLzNT2zNT2zNP2evo8pffo0cXK2rVrS/369SvV1NS02/eqq64qDRgwoDR69OjSDjvsUFqyZEkXJu06L12TjRs3ls4888zS+PHjS3379i3tt99+pUWLFrXu2xvXpFQqlVatWlUaMWJE6a9//Wu7fXvymlx11VWlJO0uDz/88Gafd29dkxd19B8RPXlNSqVNr8s3v/nNza5XT16Xzf1d+d3vflfaa6+9SoMHDy4dc8wxpaeffrrN/baHNTFP2zNPO2amvsBMbc9Mbc88ba+nz1N6j4pS6X9P3d4LrVixIosWLcqMGTMyatSocsfpFqxJe711TTb3vHvrmmyONemYdWmvJ65JT3xOr5Y16VhvXRczdetYk/asSXvWhO6kVxcrAAAAAK9Gjz95LQAAAMC2olgBAAAAKEixAgAAAFCQYgXoVOedd14aGho2eft3v/vd3H///Z36M5ubmzN37tw4ZRQAPYmZCrB9cPJa2E7927/9W4455pgceeSRSZKNGzdmzZo1+fGPf5xnn302n/70p9PU1JQk2WGHHdrc96c//Wm+9a1v5a9//Wvrtrq6uhxzzDH53ve+l7333rtQph/96Ee57LLLcu2112b16tX51a9+lUGDBqWqqqp1n09+8pN55zvfmSOOOCJJ0tjYmLVr12bGjBnZa6+9WvdraGjIkCFDkiT19fUZNmxY7rnnntZsS5Ysyb777tu6/8knn5xddtklX/7ylwtlB6D3MlPNVIBXwxErsB26/fbb87Of/Synn3569ttvvzQ0NKS+vj5f+MIXcvXVV+f666/PWWedlaOPPjpLlixpd//q6ur069ev9fratWvznve8JxUVFdlll10KZaqrq8vXv/71XHbZZamsrMzGjRvT0NCQlStXpq6urvXypS99KdOnT2+9vmrVqqxZsyYtLS2tj9XU1JR99903l19+eZJk6NChGThwYGvm2267LVOmTMntt9/eep/vfe97ufLKKzv9nTsAejYz1UwFeLWqXnkXoDtZvXp1Tj311Nx1110ZPHhwPv3pT2fIkCG5/fbbM23atGzYsCHPPfdcLr/88pxwwglZtmxZ9tprr4wePbrDx3vxBeCgQYNy9dVXZ8CAAYVyfetb38rHPvaxDB8+PEkyYsSIfOITn8iNN96Yz372s5u832c+85kcd9xxbbZVV1fnc5/7XD7+8Y/noIMOyqhRo9K3b98kyfr16zN79uycdtppedOb3tR6n759++YrX/lK5s6dm/nz5xd6DgD0LmaqmQrQGRQrsJ353e9+l/Xr1+fUU0/NU089lebm5nz4wx/OV7/61fTr1y/XXnttKioq8sMf/jBPPfVUXvva12bQoEEdPtZTTz2V97znPRk9enSuuOKKVFdXF871q1/9KjfccEO77c3NzVm5cmUuvvjidrf9+7//e+rr6zt8vFNPPTVXXHFF7rrrrrzrXe9q3X7XXXelf//++drXvtbuPocffnhOO+20NDc3tzlUGgA6YqaaqQCdwW9J2M68733vy7XXXpuTTjopn/rUp3LzzTfnyCOPzIIFC3LOOefk6aefzmtf+9qcc845OfTQQ/Oa17wmAwcOzIYNG9LU1JSqqqps2LAhpVIpAwYMyCGHHJLPfvazKZVKWbduXZKkVCqlubk5gwcP3qJMLz52R+/gjRo1Ku9+97vzq1/9qt1tb33rW7PHHnu02bZ+/fpUVVWlT58+uemmm9rdZ/r06fnzn/+c5IUXmC0tLa0vXvv27ZuJEyemtrY2kyZN2qLsAPReZqqZCtAZFCuwnfrZz36Wp59+Ouedd14qKyuzww475Cc/+UlmzpyZL37xi6mqqsr69evz9re/PbfeemvuvPPOvO9970u/fv3S0tKS9evXZ+edd05LS0vmzp3b5nDl5ubmTJ48Offcc88WZamrq8vIkSPbbLvyyiszd+7cV7zvwoULkyTTpk3L+eefn0MPPTSLFi1q/ex3S0tLnnvuuSTJP/3TP2XEiBGpqKhIqVTK888/n/322y9/+ctfWh9v1KhRefrpp70IBGCLmalmKsCroViB7dTYsWNTXV2dSZMm5eabb279RoAzzzwzd999d5KkoqIi//3f/51ddtklu+yyS9avX58kueKKK3LeeeflT3/6U5588snsvvvuefjhh9t908GWGjRoUFavXt1m26pVqzJy5MhcdNFFWbZsWdatW5eGhoasWrUqTz75ZJYvX55nnnkmV111VX72s5/lJz/5SZLkhhtuSEVFRevjnH322bn11lvzpz/9Kfvtt18OPPDAnHXWWa23b9y4sc3PXb169SYP0waAjpipLzBTAYpRrMB2qFQq5cADD8xVV12V97znPbnkkkuSJAceeGCbbwJIkne+852tXx/ZkTFjxuTd7353/uM//iPf/e53C+UZPHhwVq9e3eZz2IcddlimTZuWZcuW5brrrsuOO+6YJ554IgsWLMj555+fvn37plQqpbGxMe9///tz/PHHJ0mbF4D33ntvzj777Fx33XU57LDDcu655+Z973tfdt5558yaNStJ0qdP2y83W758ecaNG1foeQDQ+5ipZirAq6VYge3Qrrvums9//vPp379/Dj300Oy7775Jktra2jz88MOt+918882veDb/1atXZ+7cuZk6dWpmzJiRE044oVCmGTNm5JZbbsk73vGOJMnOO++cMWPG5NBDD019fX02btyYNWvWpK6uLuedd16GDx+eoUOHZvbs2Rk6dGgqKyvbPN4//vGPHHHEEZk1a1b++Z//OUkyZMiQXHfddTnwwAPzxz/+MV/72tcyceLE1vssW7YsI0aMyNChQws9BwB6HzPVTAV4tfq88i5Ad/OVr3wlCxcuzJ/+9Kd8//vfz0EHHZSWlpasWbMmb3jDG1ovL74DtSm33HJLpkyZkj/96U+ZP39+PvShD+Xss89u9w7dljjllFPy9a9/vc22Pn365Fvf+lYuv/zy/PSnP82pp56a0aNH57DDDss//dM/paWlJV/84hdTV1fXep8HH3wwp512WqZNm5ajjz468+bNa/OYu+++e+66666sWbMmkydPzimnnNJ621e/+tU21wHglZipZirAq+WIFdjOPPPMM/nQhz6UBx98ME888UT23nvv7LfffjnmmGMyZMiQLFq0qHXfTb27VldX1/qVi5/85Cdz9NFHZ9CgQfnlL3+ZD37wg/nxj3+c//qv/8rhhx++xbkOOOCAjBkzJt/97nfzsY99LEnygQ98IIsWLcqgQYMydOjQNDY2Zv369Rk+fHimTp2aXXbZJaNGjcrVV1+dBx54IHPmzEljY2Nuv/32/Pa3v83b3/721scvlUqt/3+nnXbK1VdfnT//+c+th0lfc801WbZsWf71X/91a5cUgF7KTDVTATpDRemlv1mBbq9UKuWcc87JQQcdlKlTp7a+CEpeOFT4pWfur6+vz7777pvLLruszWOcfvrpueqqq3LFFVe0HvL8oqeffjpnnnlmvvKVr7T7VoJXsnr16rzrXe/Kb37zm4wYMaLd7TU1NXnLW96S3XbbLX379k3ywjcUPPTQQzn99NPzqU99apOPXV1dnbvuuiv77LNPu9uam5vz1re+NVdccUXGjh27VZkB6L3MVDMVoDMoVqAX2rBhQ55//vkMGzas0x+7paWl3We7u0K5fi4AvZuZCoBiBQAAAKAgJ68FAAAAKEixAgAAAFCQYgUAAACgIMUKAAAAQEGKFQAAAICCFCsAAAAABSlWAAAAAApSrAAAAAAUpFgBAAAAKEixAgAAAFDQ/wOXznJunmdpdwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1112.88x1500 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(\n",
    "    penguins,\n",
    "    x=\"鳍长 (毫米)\",\n",
    "    kind='hist',\n",
    "    hue=\"企鹅的种类\",  # hue指定分组\n",
    "    palette=['#006a8e',\"#b1283a\",\"#a8a6a7\"],\n",
    "    col=\"性别\",\n",
    "    row=\"岛屿\",\n",
    "    multiple='stack'\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "7a12cac6-a60f-41b6-9eb4-63f061b544fc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1112.88x1500 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(\n",
    "    penguins,\n",
    "    x=\"鳍长 (毫米)\",\n",
    "    kind='hist',\n",
    "    hue=\"企鹅的种类\",  # hue指定分组\n",
    "    palette=['#006a8e',\"#b1283a\",\"#a8a6a7\"],\n",
    "    col=\"性别\",\n",
    "    row=\"岛屿\",\n",
    "    multiple='layer'\n",
    ")\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
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